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
Model weights
#1
by rbareja - opened
Hello,
Which file to use for using the QuiltNet-B-32 model weights?
you can use huggingface or open_clip to load the models. E.g for openclip you could use
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')
wisdomik changed discussion status to closed