Instructions to use hfl/chinese-roberta-wwm-ext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hfl/chinese-roberta-wwm-ext with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hfl/chinese-roberta-wwm-ext")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hfl/chinese-roberta-wwm-ext") model = AutoModelForMaskedLM.from_pretrained("hfl/chinese-roberta-wwm-ext", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from hfl/chinese-roberta-wwm-ext: direct link, hf CLI and curl.
- Browser
- Download file 19 Bytes
-
https://huggingface.co/hfl/chinese-roberta-wwm-ext/resolve/main/tokenizer_config.json
- Command line
-
hf download hf://hfl/chinese-roberta-wwm-ext/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/hfl/chinese-roberta-wwm-ext/resolve/main/tokenizer_config.json
19 Bytes
| {"init_inputs": []} |