Sentence Similarity
Transformers
TensorBoard
Safetensors
Chinese
chinese
medical
information-retrieval
dense-retrieval
text-embeddings
asymmetric-encoder
cmedteb
Instructions to use PhilipGAQ/CARE-0.3B-4B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PhilipGAQ/CARE-0.3B-4B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("PhilipGAQ/CARE-0.3B-4B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from PhilipGAQ/CARE-0.3B-4B: direct link, hf CLI and curl.
- Browser
- Download file 7.74 kB
-
https://huggingface.co/PhilipGAQ/CARE-0.3B-4B/resolve/main/training_args.bin
- Command line
-
hf download hf://PhilipGAQ/CARE-0.3B-4B/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/PhilipGAQ/CARE-0.3B-4B/resolve/main/training_args.bin
7.74 kB
- Xet hash:
- 23beaa24cb7c386e144aa412378978baf8a8366558d58b160ba39c7e4a5cc280
- Size of remote file:
- 7.74 kB
- SHA256:
- b8b4aa101c1afd21c110080951e72217061a32e8abaad31a0ad7a02b7f0b222d
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