Zero-Shot Image Classification
OpenCLIP
clip
biomedical
vision-language
scientific-figures
panel2patch
Instructions to use KKYYKK/Panel2Patch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use KKYYKK/Panel2Patch with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:KKYYKK/Panel2Patch') tokenizer = open_clip.get_tokenizer('hf-hub:KKYYKK/Panel2Patch') - Notebooks
- Google Colab
- Kaggle
Download panel2patch.pt from KKYYKK/Panel2Patch: direct link, hf CLI and curl.
- Browser
- Download file 3.22 GB
-
https://huggingface.co/KKYYKK/Panel2Patch/resolve/main/panel2patch.pt
- Command line
-
hf download hf://KKYYKK/Panel2Patch/panel2patch.pt
-
curl -L -o panel2patch.pt https://huggingface.co/KKYYKK/Panel2Patch/resolve/main/panel2patch.pt
3.22 GB
- Xet hash:
- a311dd789152623fd480b5a7b6e293cf6ebbbbdd9706df494b4c6aa129bcb9e1
- Size of remote file:
- 3.22 GB
- SHA256:
- d3f310838284d36a88fd04872670849ad41da80dd7c09ced26631c66c6772d1c
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