Instructions to use wisdomik/QuiltNet-B-16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use wisdomik/QuiltNet-B-16 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:wisdomik/QuiltNet-B-16') tokenizer = open_clip.get_tokenizer('hf-hub:wisdomik/QuiltNet-B-16') - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload pytorch_model.bin
a5a588b -
Rename preprocessor_config.txt to preprocessor_config.json
86f16b3 -
Rename config.txt to config.json
3e34621 -
Upload 2 files
ae36476
-
Update README.md
ebd0d0b
-
Update README.md
2bd4172 -
Update README.md
521201d
-
Update README.md
c3c9982 -
Update README.md
53bce7c -
Update README.md
f1ae542 -
Update README.md
f111016 -
Upload adipose.jpeg
48efff4 -
Update README.md
44b9d55 -
Upload BREST092.jpeg
ab30662 -
Update README.md
fffebfd -
Add model
42d3269 -
initial commit
ec0bcf9