Instructions to use readerbench/RoBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use readerbench/RoBERT-base with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("readerbench/RoBERT-base", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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Update tokenizer_config.json
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tokenizer_config.json
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{"do_lower_case": true, "do_basic_tokenize": true, "never_split": null, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": false, "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "bert_models/base_hugging/"}
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{"do_lower_case": true, "do_basic_tokenize": true, "never_split": null, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": false, "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "bert_models/base_hugging/", "model_max_length": 512}
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