Instructions to use Aratako/gemma-4-E4B-it-audio-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aratako/gemma-4-E4B-it-audio-encoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Aratako/gemma-4-E4B-it-audio-encoder", trust_remote_code=True)# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Aratako/gemma-4-E4B-it-audio-encoder", trust_remote_code=True) model = AutoModel.from_pretrained("Aratako/gemma-4-E4B-it-audio-encoder", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add files using upload-large-folder tool
Browse files- config.json +200 -0
- gemma4_audio_encoder.py +31 -0
- model.safetensors +3 -0
- preprocessor_config.json +75 -0
config.json
ADDED
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| 1 |
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{
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| 2 |
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"architectures": [
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| 3 |
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"Gemma4AudioEncoder"
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| 4 |
+
],
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| 5 |
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"auto_map": {
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| 6 |
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"AutoModel": "gemma4_audio_encoder.Gemma4AudioEncoder"
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| 7 |
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},
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| 8 |
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"audio_config": {
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| 9 |
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"_name_or_path": "",
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| 10 |
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"architectures": null,
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| 11 |
+
"attention_chunk_size": 12,
|
| 12 |
+
"attention_context_left": 13,
|
| 13 |
+
"attention_context_right": 0,
|
| 14 |
+
"attention_invalid_logits_value": -1000000000.0,
|
| 15 |
+
"attention_logit_cap": 50.0,
|
| 16 |
+
"chunk_size_feed_forward": 0,
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| 17 |
+
"conv_kernel_size": 5,
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| 18 |
+
"dtype": "bfloat16",
|
| 19 |
+
"gradient_clipping": 10000000000.0,
|
| 20 |
+
"hidden_act": "silu",
|
| 21 |
+
"hidden_size": 1024,
|
| 22 |
+
"id2label": {
|
| 23 |
+
"0": "LABEL_0",
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| 24 |
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"1": "LABEL_1"
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| 25 |
+
},
|
| 26 |
+
"initializer_range": 0.02,
|
| 27 |
+
"is_encoder_decoder": false,
|
| 28 |
+
"label2id": {
|
| 29 |
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"LABEL_0": 0,
|
| 30 |
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"LABEL_1": 1
|
| 31 |
+
},
|
| 32 |
+
"model_type": "gemma4_audio",
|
| 33 |
+
"num_attention_heads": 8,
|
| 34 |
+
"num_hidden_layers": 12,
|
| 35 |
+
"output_attentions": false,
|
| 36 |
+
"output_hidden_states": false,
|
| 37 |
+
"output_proj_dims": 1536,
|
| 38 |
+
"problem_type": null,
|
| 39 |
+
"residual_weight": 0.5,
|
| 40 |
+
"return_dict": true,
|
| 41 |
+
"rms_norm_eps": 1e-06,
|
| 42 |
+
"subsampling_conv_channels": [
|
| 43 |
+
128,
|
| 44 |
+
32
|
| 45 |
+
],
|
| 46 |
+
"use_clipped_linears": true
|
| 47 |
+
},
|
| 48 |
+
"audio_token_id": 258881,
|
| 49 |
+
"boa_token_id": 256000,
|
| 50 |
+
"boi_token_id": 255999,
|
| 51 |
+
"dtype": "bfloat16",
|
| 52 |
+
"eoa_token_id": 258883,
|
| 53 |
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"eoa_token_index": 258883,
|
| 54 |
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"eoi_token_id": 258882,
|
| 55 |
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"eos_token_id": [
|
| 56 |
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1,
|
| 57 |
+
106
|
| 58 |
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],
|
| 59 |
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"image_token_id": 258880,
|
| 60 |
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"initializer_range": 0.02,
|
| 61 |
+
"model_type": "gemma4",
|
| 62 |
+
"text_config": {
|
| 63 |
+
"attention_bias": false,
|
| 64 |
+
"attention_dropout": 0.0,
|
| 65 |
+
"attention_k_eq_v": false,
|
| 66 |
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"bos_token_id": 2,
|
| 67 |
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"dtype": "bfloat16",
|
| 68 |
+
"enable_moe_block": false,
|
| 69 |
+
"eos_token_id": 1,
|
| 70 |
+
"expert_intermediate_size": null,
|
| 71 |
+
"final_logit_softcapping": 30.0,
|
| 72 |
+
"global_head_dim": 512,
|
| 73 |
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"head_dim": 256,
|
| 74 |
+
"hidden_activation": "gelu_pytorch_tanh",
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| 75 |
+
"hidden_size": 2560,
|
| 76 |
+
"hidden_size_per_layer_input": 256,
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| 77 |
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"initializer_range": 0.02,
|
| 78 |
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"intermediate_size": 10240,
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| 79 |
+
"layer_types": [
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| 80 |
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"sliding_attention",
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| 81 |
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"sliding_attention",
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| 82 |
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"sliding_attention",
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| 83 |
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"sliding_attention",
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| 84 |
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"sliding_attention",
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| 85 |
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"full_attention",
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| 86 |
+
"sliding_attention",
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| 87 |
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"sliding_attention",
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| 88 |
+
"sliding_attention",
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| 89 |
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"sliding_attention",
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| 90 |
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"sliding_attention",
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| 91 |
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"full_attention",
|
| 92 |
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"sliding_attention",
|
| 93 |
+
"sliding_attention",
|
| 94 |
+
"sliding_attention",
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| 95 |
+
"sliding_attention",
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| 96 |
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"sliding_attention",
|
| 97 |
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"full_attention",
|
| 98 |
+
"sliding_attention",
|
| 99 |
+
"sliding_attention",
|
| 100 |
+
"sliding_attention",
|
| 101 |
+
"sliding_attention",
|
| 102 |
+
"sliding_attention",
|
| 103 |
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"full_attention",
|
| 104 |
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"sliding_attention",
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| 105 |
+
"sliding_attention",
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| 106 |
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"sliding_attention",
|
| 107 |
+
"sliding_attention",
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| 108 |
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"sliding_attention",
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| 109 |
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"full_attention",
|
| 110 |
+
"sliding_attention",
|
| 111 |
+
"sliding_attention",
|
| 112 |
+
"sliding_attention",
|
| 113 |
+
"sliding_attention",
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| 114 |
+
"sliding_attention",
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| 115 |
+
"full_attention",
|
| 116 |
+
"sliding_attention",
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| 117 |
+
"sliding_attention",
|
| 118 |
+
"sliding_attention",
|
| 119 |
+
"sliding_attention",
|
| 120 |
+
"sliding_attention",
|
| 121 |
+
"full_attention"
|
| 122 |
+
],
|
| 123 |
+
"max_position_embeddings": 131072,
|
| 124 |
+
"model_type": "gemma4_text",
|
| 125 |
+
"num_attention_heads": 8,
|
| 126 |
+
"num_experts": null,
|
| 127 |
+
"num_global_key_value_heads": null,
|
| 128 |
+
"num_hidden_layers": 42,
|
| 129 |
+
"num_key_value_heads": 2,
|
| 130 |
+
"num_kv_shared_layers": 18,
|
| 131 |
+
"pad_token_id": 0,
|
| 132 |
+
"rms_norm_eps": 1e-06,
|
| 133 |
+
"rope_parameters": {
|
| 134 |
+
"full_attention": {
|
| 135 |
+
"partial_rotary_factor": 0.25,
|
| 136 |
+
"rope_theta": 1000000.0,
|
| 137 |
+
"rope_type": "proportional"
|
| 138 |
+
},
|
| 139 |
+
"sliding_attention": {
|
| 140 |
+
"rope_theta": 10000.0,
|
| 141 |
+
"rope_type": "default"
|
| 142 |
+
}
|
| 143 |
+
},
|
| 144 |
+
"sliding_window": 512,
|
| 145 |
+
"tie_word_embeddings": true,
|
| 146 |
+
"top_k_experts": null,
|
| 147 |
+
"use_bidirectional_attention": null,
|
| 148 |
+
"use_cache": true,
|
| 149 |
+
"use_double_wide_mlp": false,
|
| 150 |
+
"vocab_size": 262144,
|
| 151 |
+
"vocab_size_per_layer_input": 262144
|
| 152 |
+
},
|
| 153 |
+
"tie_word_embeddings": true,
|
| 154 |
+
"transformers_version": "5.5.0.dev0",
|
| 155 |
+
"video_token_id": 258884,
|
| 156 |
+
"vision_config": {
|
| 157 |
+
"_name_or_path": "",
|
| 158 |
+
"architectures": null,
|
| 159 |
+
"attention_bias": false,
|
| 160 |
+
"attention_dropout": 0.0,
|
| 161 |
+
"chunk_size_feed_forward": 0,
|
| 162 |
+
"default_output_length": 280,
|
| 163 |
+
"dtype": "bfloat16",
|
| 164 |
+
"global_head_dim": 64,
|
| 165 |
+
"head_dim": 64,
|
| 166 |
+
"hidden_activation": "gelu_pytorch_tanh",
|
| 167 |
+
"hidden_size": 768,
|
| 168 |
+
"id2label": {
|
| 169 |
+
"0": "LABEL_0",
|
| 170 |
+
"1": "LABEL_1"
|
| 171 |
+
},
|
| 172 |
+
"initializer_range": 0.02,
|
| 173 |
+
"intermediate_size": 3072,
|
| 174 |
+
"is_encoder_decoder": false,
|
| 175 |
+
"label2id": {
|
| 176 |
+
"LABEL_0": 0,
|
| 177 |
+
"LABEL_1": 1
|
| 178 |
+
},
|
| 179 |
+
"max_position_embeddings": 131072,
|
| 180 |
+
"model_type": "gemma4_vision",
|
| 181 |
+
"num_attention_heads": 12,
|
| 182 |
+
"num_hidden_layers": 16,
|
| 183 |
+
"num_key_value_heads": 12,
|
| 184 |
+
"output_attentions": false,
|
| 185 |
+
"output_hidden_states": false,
|
| 186 |
+
"patch_size": 16,
|
| 187 |
+
"pooling_kernel_size": 3,
|
| 188 |
+
"position_embedding_size": 10240,
|
| 189 |
+
"problem_type": null,
|
| 190 |
+
"return_dict": true,
|
| 191 |
+
"rms_norm_eps": 1e-06,
|
| 192 |
+
"rope_parameters": {
|
| 193 |
+
"rope_theta": 100.0,
|
| 194 |
+
"rope_type": "default"
|
| 195 |
+
},
|
| 196 |
+
"standardize": false,
|
| 197 |
+
"use_clipped_linears": true
|
| 198 |
+
},
|
| 199 |
+
"vision_soft_tokens_per_image": 280
|
| 200 |
+
}
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gemma4_audio_encoder.py
ADDED
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@@ -0,0 +1,31 @@
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| 1 |
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from transformers import PreTrainedModel
|
| 2 |
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from transformers.models.gemma4.configuration_gemma4 import Gemma4Config
|
| 3 |
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from transformers.models.gemma4.modeling_gemma4 import Gemma4AudioModel, Gemma4MultimodalEmbedder
|
| 4 |
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|
| 5 |
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|
| 6 |
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class Gemma4AudioEncoder(PreTrainedModel):
|
| 7 |
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config_class = Gemma4Config
|
| 8 |
+
|
| 9 |
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def __init__(self, config):
|
| 10 |
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super().__init__(config)
|
| 11 |
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self.audio_tower = Gemma4AudioModel(config.audio_config)
|
| 12 |
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self.embed_audio = Gemma4MultimodalEmbedder(config.audio_config, config.text_config)
|
| 13 |
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self.post_init()
|
| 14 |
+
|
| 15 |
+
def forward(self, input_features, input_features_mask, project=True, **kwargs):
|
| 16 |
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"""
|
| 17 |
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Args:
|
| 18 |
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input_features: Audio mel-spectrogram features.
|
| 19 |
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input_features_mask: Attention mask for audio features.
|
| 20 |
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project: If True, project to LLM embedding space (2560-dim).
|
| 21 |
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If False, return audio tower output (1536-dim).
|
| 22 |
+
|
| 23 |
+
Returns:
|
| 24 |
+
If project=True: (projected_features, attention_mask)
|
| 25 |
+
If project=False: (encoder_features, attention_mask)
|
| 26 |
+
"""
|
| 27 |
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output = self.audio_tower(input_features, ~input_features_mask)
|
| 28 |
+
if project:
|
| 29 |
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projected = self.embed_audio(inputs_embeds=output.last_hidden_state)
|
| 30 |
+
return projected, output.attention_mask
|
| 31 |
+
return output.last_hidden_state, output.attention_mask
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model.safetensors
ADDED
|
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:78385ceb0b07b71b45e440ffd436045b14b97459e629c12f1dd70bdc7f1c71eb
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| 3 |
+
size 617606056
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preprocessor_config.json
ADDED
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| 1 |
+
{
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| 2 |
+
"audio_ms_per_token": 40,
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| 3 |
+
"audio_seq_length": 750,
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| 4 |
+
"feature_extractor": {
|
| 5 |
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"dither": 0.0,
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| 6 |
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"feature_extractor_type": "Gemma4AudioFeatureExtractor",
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| 7 |
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"feature_size": 128,
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| 8 |
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"fft_length": 512,
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| 9 |
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"fft_overdrive": false,
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| 10 |
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"frame_length": 320,
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| 11 |
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"hop_length": 160,
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| 12 |
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"input_scale_factor": 1.0,
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| 13 |
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"max_frequency": 8000.0,
|
| 14 |
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"mel_floor": 0.001,
|
| 15 |
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"min_frequency": 0.0,
|
| 16 |
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"padding_side": "right",
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| 17 |
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"padding_value": 0.0,
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| 18 |
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"per_bin_mean": null,
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| 19 |
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"per_bin_stddev": null,
|
| 20 |
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"preemphasis": 0.0,
|
| 21 |
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"preemphasis_htk_flavor": true,
|
| 22 |
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"return_attention_mask": true,
|
| 23 |
+
"sampling_rate": 16000
|
| 24 |
+
},
|
| 25 |
+
"image_processor": {
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| 26 |
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"do_convert_rgb": true,
|
| 27 |
+
"do_normalize": false,
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| 28 |
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"do_rescale": true,
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| 29 |
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"do_resize": true,
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| 30 |
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"image_mean": [
|
| 31 |
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0.0,
|
| 32 |
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0.0,
|
| 33 |
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0.0
|
| 34 |
+
],
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| 35 |
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"image_processor_type": "Gemma4ImageProcessor",
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| 36 |
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"image_seq_length": 280,
|
| 37 |
+
"image_std": [
|
| 38 |
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1.0,
|
| 39 |
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1.0,
|
| 40 |
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1.0
|
| 41 |
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],
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| 42 |
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"max_soft_tokens": 280,
|
| 43 |
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"patch_size": 16,
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| 44 |
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"pooling_kernel_size": 3,
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| 45 |
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"resample": 3,
|
| 46 |
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"rescale_factor": 0.00392156862745098
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| 47 |
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},
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| 48 |
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"image_seq_length": 280,
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| 49 |
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"processor_class": "Gemma4Processor",
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| 50 |
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"video_processor": {
|
| 51 |
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"do_convert_rgb": true,
|
| 52 |
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"do_normalize": true,
|
| 53 |
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"do_rescale": true,
|
| 54 |
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"do_resize": true,
|
| 55 |
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"do_sample_frames": true,
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| 56 |
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"image_mean": [
|
| 57 |
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0.0,
|
| 58 |
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0.0,
|
| 59 |
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0.0
|
| 60 |
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],
|
| 61 |
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"image_std": [
|
| 62 |
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1.0,
|
| 63 |
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1.0,
|
| 64 |
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1.0
|
| 65 |
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],
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| 66 |
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"max_soft_tokens": 70,
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| 67 |
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"num_frames": 32,
|
| 68 |
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"patch_size": 16,
|
| 69 |
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"pooling_kernel_size": 3,
|
| 70 |
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"resample": 3,
|
| 71 |
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"rescale_factor": 0.00392156862745098,
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| 72 |
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"return_metadata": false,
|
| 73 |
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"video_processor_type": "Gemma4VideoProcessor"
|
| 74 |
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}
|
| 75 |
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}
|