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
Add name and description to `yaml` for API
#8
by egrace479 - opened
README.md
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@@ -4,6 +4,8 @@ license:
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language:
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- en
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library_name: open_clip
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tags:
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- zero-shot-image-classification
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- clip
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language:
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- en
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library_name: open_clip
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model_name: BioCLIP
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model_description: "Foundation model for the tree of life, built using CLIP architecture as a vision model for general organismal biology. It is trained on TreeOfLife-10M, our specially-created dataset covering over 450K taxa--the most biologically diverse ML-ready dataset available to date."
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tags:
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- zero-shot-image-classification
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- clip
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