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/cceceb1bfe99e41d1bfb442d27961499b019d22f/tokenizer_config.json
- Command line
-
hf download hf://weiweishi/roc-bert-base-zh@cceceb1bfe99e41d1bfb442d27961499b019d22f/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/weiweishi/roc-bert-base-zh/resolve/cceceb1bfe99e41d1bfb442d27961499b019d22f/tokenizer_config.json
412 Bytes
- Xet hash:
- 034315771ca36c8298476614e247ab70246dc05eb68f3568efe0e1d58ac9602b
- Size of remote file:
- 412 Bytes
- SHA256:
- 741610a7422466d1a9d83e290e2fcc32b67d97f656d107702b8cf6798140d5b1
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