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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-100/optimizer.pt from prithivMLmods/MetaCLIP-2-Gender-Identifier: direct link, hf CLI and curl.
- Browser
- Download file 173 MB
-
https://huggingface.co/prithivMLmods/MetaCLIP-2-Gender-Identifier/resolve/main/checkpoint-100/optimizer.pt
- Command line
-
hf download hf://prithivMLmods/MetaCLIP-2-Gender-Identifier/checkpoint-100/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/prithivMLmods/MetaCLIP-2-Gender-Identifier/resolve/main/checkpoint-100/optimizer.pt
173 MB
- Xet hash:
- cc68f4f4b5519a0f8f00fc3167a5060c966cbb9b6feca2774466df37d257bb4e
- Size of remote file:
- 173 MB
- SHA256:
- f8a44c76a5072ab6a087abee79116dec6083d80550e769fe3f7e7e0febd85654
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