Zero-Shot Image Classification
OpenCLIP
English
OpenCLIP
clip
biology
biodiversity
agronomy
CV
images
animals
species
taxonomy
rare species
endangered species
evolutionary biology
multimodal
knowledge-guided
Instructions to use BGLab/BioTrove-CLIP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use BGLab/BioTrove-CLIP with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:BGLab/BioTrove-CLIP') tokenizer = open_clip.get_tokenizer('hf-hub:BGLab/BioTrove-CLIP') - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from BGLab/BioTrove-CLIP: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/BGLab/BioTrove-CLIP/resolve/main/tokenizer.json
- Command line
-
hf download hf://BGLab/BioTrove-CLIP/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/BGLab/BioTrove-CLIP/resolve/main/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.