Instructions to use oscarzhang/HealthRecommendation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use oscarzhang/HealthRecommendation with PEFT:
Task type is invalid.
- Transformers
How to use oscarzhang/HealthRecommendation with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("oscarzhang/HealthRecommendation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from oscarzhang/HealthRecommendation: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/oscarzhang/HealthRecommendation/resolve/main/tokenizer.json
- Command line
-
hf download hf://oscarzhang/HealthRecommendation/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/oscarzhang/HealthRecommendation/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 5c8f9595018a4b2b852df7896d54d5e9757004d5603531b790c6ad523eab9101
- Size of remote file:
- 11.4 MB
- SHA256:
- 1ba5a2c375ccc106d00f0f31e33460af090446ab058b36c907f830528f5a0e73
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