Instructions to use PaddleCI/tiny-random-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- paddlenlp
How to use PaddleCI/tiny-random-bert with paddlenlp:
from paddlenlp.transformers import AutoTokenizer, BertForMaskedLM tokenizer = AutoTokenizer.from_pretrained("PaddleCI/tiny-random-bert", from_hf_hub=True) model = BertForMaskedLM.from_pretrained("PaddleCI/tiny-random-bert", from_hf_hub=True) - Notebooks
- Google Colab
- Kaggle
| {"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, "model_max_length": 512, "tokenizer_class": "BertTokenizer"} |