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 word_shape.json from weiweishi/roc-bert-base-zh: direct link, hf CLI and curl.
- Browser
- Download file 465 kB
-
https://huggingface.co/weiweishi/roc-bert-base-zh/resolve/c97856b171be69b70f739dc82d5f8d01ea471e5a/word_shape.json
- Command line
-
hf download hf://weiweishi/roc-bert-base-zh@c97856b171be69b70f739dc82d5f8d01ea471e5a/word_shape.json
-
curl -L -o word_shape.json https://huggingface.co/weiweishi/roc-bert-base-zh/resolve/c97856b171be69b70f739dc82d5f8d01ea471e5a/word_shape.json
465 kB
- Xet hash:
- b42d4490ea57e516774520dba412cc37129510f82dffc7f9936b886cc2e63459
- Size of remote file:
- 465 kB
- SHA256:
- 4ae6b6d0a959b66d8770b2bffc33d1178f47ce734cde7787a29caf4c8a73ffac
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