Instructions to use rrsong/utc-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rrsong/utc-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rrsong/utc-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from rrsong/utc-base: direct link, hf CLI and curl.
- Browser
- Download file 198 Bytes
-
https://huggingface.co/rrsong/utc-base/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://rrsong/utc-base/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/rrsong/utc-base/resolve/main/tokenizer_config.json
198 Bytes
| {"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "model_max_length": 2048, "tokenizer_class": "ErnieTokenizer"} |