Automatic Speech Recognition
Transformers
PyTorch
Safetensors
English
bart
text2text-generation
audio
speech
asr
hubert
Instructions to use voidful/asr_hubert_cluster_bart_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidful/asr_hubert_cluster_bart_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="voidful/asr_hubert_cluster_bart_base")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("voidful/asr_hubert_cluster_bart_base") model = AutoModelForSeq2SeqLM.from_pretrained("voidful/asr_hubert_cluster_bart_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}} |