Image Feature Extraction
Transformers
Safetensors
m3d_clip
feature-extraction
3D medical CLIP
Image-text retrieval
custom_code
Instructions to use GoodBaiBai88/M3D-CLIP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GoodBaiBai88/M3D-CLIP with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="GoodBaiBai88/M3D-CLIP", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("GoodBaiBai88/M3D-CLIP", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download itr_result.png from GoodBaiBai88/M3D-CLIP: direct link, hf CLI and curl.
- Browser
- Download file 1.1 MB
-
https://huggingface.co/GoodBaiBai88/M3D-CLIP/resolve/main/itr_result.png
- Command line
-
hf download hf://GoodBaiBai88/M3D-CLIP/itr_result.png
-
curl -L -o itr_result.png https://huggingface.co/GoodBaiBai88/M3D-CLIP/resolve/main/itr_result.png
1.1 MB

- Xet hash:
- a95327cbc2159c8d9901cadd6fe6f452f68b6770a35bd207a9c5ea2822ee01eb
- Size of remote file:
- 1.1 MB
- SHA256:
- 45be6b3aa514ecad7858a5464dca85d3dc01a6a1a106f53eaee723af5431b4ff
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