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:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("oscarzhang/HealthRecommendation", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5c8f9595018a4b2b852df7896d54d5e9757004d5603531b790c6ad523eab9101
- Size of remote file:
- 11.4 MB
- SHA256:
- 1ba5a2c375ccc106d00f0f31e33460af090446ab058b36c907f830528f5a0e73
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.