Zero-Shot Image Classification
OpenCLIP
PyTorch
clip
vision
language
histopathology
histology
medical
Instructions to use wisdomik/QuiltNet-B-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use wisdomik/QuiltNet-B-32 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:wisdomik/QuiltNet-B-32') tokenizer = open_clip.get_tokenizer('hf-hub:wisdomik/QuiltNet-B-32') - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
by SFconvertbot - opened
- model.safetensors +3 -0
- open_clip_pytorch_model.safetensors +3 -0
model.safetensors
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oid sha256:61c105042dfeb8efbf6572c6ab976550abe8a5062b9622c368da95710032feb8
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open_clip_pytorch_model.safetensors
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oid sha256:3be0805930ddc91e6102832a0dab92c4caade978abd424b91b50fe49af3dbef1
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size 605143316
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