Zero-Shot Image Classification
OpenCLIP
English
clip
biology
CV
images
animals
species
taxonomy
rare species
endangered species
evolutionary biology
multimodal
knowledge-guided
Instructions to use imageomics/bioclip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use imageomics/bioclip with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:imageomics/bioclip') tokenizer = open_clip.get_tokenizer('hf-hub:imageomics/bioclip') - Notebooks
- Google Colab
- Kaggle
Move model to device to avoid error (#7)
Browse files- Move model to device to avoid error (de9dae7db08798fa47c1bb1d379c6804a2149f8d)
Co-authored-by: Kazi Sajeed Mehrab <ksmehrab@users.noreply.huggingface.co>
- examples/zero_shot.py +1 -0
examples/zero_shot.py
CHANGED
|
@@ -272,6 +272,7 @@ if __name__ == "__main__":
|
|
| 272 |
model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms(
|
| 273 |
"hf-hub:imageomics/bioclip"
|
| 274 |
)
|
|
|
|
| 275 |
|
| 276 |
# Write datasets
|
| 277 |
params_file = os.path.join(args.logs, args.exp, "params.json")
|
|
|
|
| 272 |
model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms(
|
| 273 |
"hf-hub:imageomics/bioclip"
|
| 274 |
)
|
| 275 |
+
model = model.to(args.device)
|
| 276 |
|
| 277 |
# Write datasets
|
| 278 |
params_file = os.path.join(args.logs, args.exp, "params.json")
|