Zero-Shot Image Classification
OpenCLIP
ONNX
English
clip
mobileclip2
mobileclip
image-text-retrieval
qualcomm
qai-hub
lpcv
Instructions to use jn12/2026LPCV-Track1-MobileCLIP2-B-Best with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use jn12/2026LPCV-Track1-MobileCLIP2-B-Best with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:jn12/2026LPCV-Track1-MobileCLIP2-B-Best') tokenizer = open_clip.get_tokenizer('hf-hub:jn12/2026LPCV-Track1-MobileCLIP2-B-Best') - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c04615205ddf19c7c0da932d3dcbf9238dd8f1a218bf7b87e4a77fa910751df4
- Size of remote file:
- 254 MB
- SHA256:
- 5bbe342ceaafdbb930e737f6a55218e5bf85842e17b6d409aa8ed4bb61c8b42a
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