Instructions to use weiweishi/roc-bert-base-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use weiweishi/roc-bert-base-zh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="weiweishi/roc-bert-base-zh")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("weiweishi/roc-bert-base-zh") model = AutoModelForPreTraining.from_pretrained("weiweishi/roc-bert-base-zh", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from weiweishi/roc-bert-base-zh: direct link, hf CLI and curl.
- Browser
- Download file 412 Bytes
-
https://huggingface.co/weiweishi/roc-bert-base-zh/resolve/90abcfaf66406dd8b2413c87f414dffabb408b44/tokenizer_config.json
- Command line
-
hf download hf://weiweishi/roc-bert-base-zh@90abcfaf66406dd8b2413c87f414dffabb408b44/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/weiweishi/roc-bert-base-zh/resolve/90abcfaf66406dd8b2413c87f414dffabb408b44/tokenizer_config.json
412 Bytes
| { | |
| "cls_token": "[CLS]", | |
| "do_basic_tokenize": true, | |
| "do_lower_case": true, | |
| "mask_token": "[MASK]", | |
| "model_max_length": 512, | |
| "name_or_path": "weiweishi/roc-bert-base-zh", | |
| "never_split": null, | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "special_tokens_map_file": null, | |
| "strip_accents": null, | |
| "tokenize_chinese_chars": true, | |
| "tokenizer_class": "RoCBertTokenizer", | |
| "unk_token": "[UNK]" | |
| } | |