Image Classification
Transformers
Safetensors
English
metaclip_2
text-generation-inference
open-scene
Instructions to use prithivMLmods/MetaCLIP-2-Open-Scene with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/MetaCLIP-2-Open-Scene with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/MetaCLIP-2-Open-Scene") 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-Open-Scene") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/MetaCLIP-2-Open-Scene", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c07aab340f2e422a93ee2cfeac7fe40d21c97026facbfc1aa5a0216ed60c05ae
- Size of remote file:
- 174 MB
- SHA256:
- 004a43362ae89b1f7a070eb1da38b7a2c54f3e6acd554d60f273d0c82dc5041a
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