Instructions to use josh-oo/aspect-based-embeddings-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use josh-oo/aspect-based-embeddings-v2 with Transformers:
# Load model directly from transformers import AutoTokenizer, ContrastiveModelBert tokenizer = AutoTokenizer.from_pretrained("josh-oo/aspect-based-embeddings-v2") model = ContrastiveModelBert.from_pretrained("josh-oo/aspect-based-embeddings-v2") - Notebooks
- Google Colab
- Kaggle
File size: 2,270 Bytes
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"added_tokens_decoder": {
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"normalized": false,
"rstrip": false,
"single_word": false,
"special": true
},
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"single_word": false,
"special": true
},
"2": {
"content": "</s>",
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"special": true
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},
"250002": {
"content": "<participants>",
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},
"250006": {
"content": "<authors>",
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},
"250007": {
"content": "not reported",
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}
},
"bos_token": "<s>",
"clean_up_tokenization_spaces": true,
"cls_token": "<s>",
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"mask_token": "<mask>",
"model_max_length": 512,
"pad_token": "<pad>",
"sep_token": "</s>",
"sp_model_kwargs": {},
"tokenizer_class": "XLMRobertaTokenizer",
"unk_token": "<unk>"
}
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