Instructions to use clue/roberta_chinese_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use clue/roberta_chinese_base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("clue/roberta_chinese_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from clue/roberta_chinese_base: direct link, hf CLI and curl.
- Browser
- Download file 409 MB
-
https://huggingface.co/clue/roberta_chinese_base/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://clue/roberta_chinese_base/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/clue/roberta_chinese_base/resolve/main/flax_model.msgpack
409 MB
- Xet hash:
- c364ce9de3eb210f19b0ac4af964c19ca549b64b8436efa93c4649cc77131664
- Size of remote file:
- 409 MB
- SHA256:
- 07d8d62a2c6ec441366371cfe36b24abacef53094329a2573192b1ea02928ec0
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.