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
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license: cc-by-nc-4.0
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# **MetaCLIP-2-Gender-Identifier**
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license: cc-by-nc-4.0
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language:
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- en
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base_model:
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- facebook/metaclip-2-worldwide-s16
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pipeline_tag: image-classification
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library_name: transformers
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tags:
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- text-generation-inference
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- gender-identifier
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# **MetaCLIP-2-Gender-Identifier**
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