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
Instructions to use imageomics/bioclip-2.5-vith14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use imageomics/bioclip-2.5-vith14 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:imageomics/bioclip-2.5-vith14') tokenizer = open_clip.get_tokenizer('hf-hub:imageomics/bioclip-2.5-vith14') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 393796858809c17e6f14811409a1f39aba9706416067d6dd965ceda5a803748d
- Size of remote file:
- 3.94 GB
- SHA256:
- 1e0c876e218a5149c0a4da96ce476f2551ed6dcc8c90bf95234138411354e3c0
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