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 open_clip_pytorch_model.bin from BGLab/BioTrove-CLIP: direct link, hf CLI and curl.
- Browser
- Download file 599 MB
-
https://huggingface.co/BGLab/BioTrove-CLIP/resolve/main/open_clip_pytorch_model.bin
- Command line
-
hf download hf://BGLab/BioTrove-CLIP/open_clip_pytorch_model.bin
-
curl -L -o open_clip_pytorch_model.bin https://huggingface.co/BGLab/BioTrove-CLIP/resolve/main/open_clip_pytorch_model.bin
599 MB
- Xet hash:
- 1c0a8487eaaa1f100b318555bf72ccc84296252275151e248c649fb8ee242699
- Size of remote file:
- 599 MB
- SHA256:
- 2f0ccf6a9b77594bbcca1e29d97ffb692d800b8ff72606d4e2b0beac07816dcd
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