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:
- d8ad4f70538cb2f463f4e1d061d49f4e63763f5b0c320603141cc5b04b4a33f0
- Size of remote file:
- 5.78 kB
- SHA256:
- 6072cf5c917b1b93ccbdb1b8bb5ab626fca6efc4913a5ad3ed0b4a994467d8d3
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