Image Classification
Transformers
Safetensors
English
metaclip_2
text-generation-inference
gender-identifier
Instructions to use prithivMLmods/MetaCLIP-2-Gender-Identifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/MetaCLIP-2-Gender-Identifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/MetaCLIP-2-Gender-Identifier") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/MetaCLIP-2-Gender-Identifier") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/MetaCLIP-2-Gender-Identifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29366046b801f022b608918cc2d178679ebe076e410a16dd7d27262e2c0577d7
- Size of remote file:
- 86.7 MB
- SHA256:
- f3158cef230d8b630ce3ee0e5781aacff7892efb05ab92a4c8c97e248a0a2f7b
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