Instructions to use GeneZC/bert-large-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GeneZC/bert-large-mrpc with Transformers:
# Load model directly from transformers import AutoTokenizer, BertCls tokenizer = AutoTokenizer.from_pretrained("GeneZC/bert-large-mrpc") model = BertCls.from_pretrained("GeneZC/bert-large-mrpc") - Notebooks
- Google Colab
- Kaggle
File size: 429 Bytes
f45bbb8 | 1 | {"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": null, "use_fast": true, "special_tokens_map_file": null, "tokenizer_file": "plms/bert-large-uncased/tokenizer.json", "name_or_path": "plms/bert-large-uncased/", "tokenizer_class": "BertTokenizer"} |