Instructions to use biu-nlp/lingmess-coref with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use biu-nlp/lingmess-coref with Transformers:
# Load model directly from transformers import AutoTokenizer, LingMessCoref tokenizer = AutoTokenizer.from_pretrained("biu-nlp/lingmess-coref") model = LingMessCoref.from_pretrained("biu-nlp/lingmess-coref") - Notebooks
- Google Colab
- Kaggle
add tokenizer
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
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{"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": true, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "model_max_length": 4096, "special_tokens_map_file": null, "name_or_path": "lingmess-longformer-
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{"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": true, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "model_max_length": 4096, "special_tokens_map_file": null, "name_or_path": "lingmess-longformer-final-model-dgx02/model", "tokenizer_class": "LongformerTokenizer"}
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