Instructions to use google/rembert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/rembert with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("google/rembert", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Adds tokenizer_config.json file
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
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{"do_lower_case": false, "remove_space": true, "keep_accents": true, "bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenizer_class": "RemBertTokenizer"}
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{"do_lower_case": false, "remove_space": true, "keep_accents": true, "bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenizer_class": "RemBertTokenizer", "model_max_length": 256}
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