Zero-Shot Image Classification
OpenCLIP
Safetensors
English
biology
CV
images
imageomics
clip
species-classification
biological visual task
multimodal
animals
plants
fungi
species
taxonomy
rare species
endangered species
evolutionary biology
knowledge-guided
zero-shot-text-retrieval
Instructions to use imageomics/biocap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use imageomics/biocap with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:imageomics/biocap') tokenizer = open_clip.get_tokenizer('hf-hub:imageomics/biocap') - Notebooks
- Google Colab
- Kaggle
fix DOI citation
Browse files
README.md
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@@ -372,10 +372,10 @@ It took 30hrs to complete the training of 50 epochs.
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@software{Zhang_BioCAP_model,
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author = {Ziheng Zhang and Xinyue Ma and Arpita Chowdhury and Elizabeth G Campolongo and Matthew J Thompson and Net Zhang and Samuel Stevens and Hilmar Lapp and Tanya Berger-Wolf and Yu Su and Wei-Lun Chao and Jianyang Gu},
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license = {MIT},
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title = {{BioCAP}},
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url = {https://huggingface.co/imageomics/biocap},
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version = {1.0.0},
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doi = {10.57967/hf/
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publisher = {Hugging Face},
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year = {2025}
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}
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@software{Zhang_BioCAP_model,
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author = {Ziheng Zhang and Xinyue Ma and Arpita Chowdhury and Elizabeth G Campolongo and Matthew J Thompson and Net Zhang and Samuel Stevens and Hilmar Lapp and Tanya Berger-Wolf and Yu Su and Wei-Lun Chao and Jianyang Gu},
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license = {MIT},
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title = {{BioCAP} (Revision af8db7a)},
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url = {https://huggingface.co/imageomics/biocap},
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version = {1.0.0},
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doi = {10.57967/hf/6799},
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publisher = {Hugging Face},
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year = {2025}
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}
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