Instructions to use trueto/medbert-base-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trueto/medbert-base-chinese with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("trueto/medbert-base-chinese") model = AutoModelForPreTraining.from_pretrained("trueto/medbert-base-chinese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from trueto/medbert-base-chinese: direct link, hf CLI and curl.
- Browser
- Download file 412 MB
-
https://huggingface.co/trueto/medbert-base-chinese/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://trueto/medbert-base-chinese/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/trueto/medbert-base-chinese/resolve/main/flax_model.msgpack
412 MB
- Xet hash:
- 844c010e63169317bd8f8873f913f183256c20ebc3c96b86cdba1a4d0ba627cb
- Size of remote file:
- 412 MB
- SHA256:
- 5e0f0c77119bf9108e596a86806311844fd3cd551744650443b5b9f1f5a86a43
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