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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce7f8ba4b8c605624f1f95e4d1d39ba649127365a3984fcdc2faf68a8903772e
- Size of remote file:
- 1.47 kB
- SHA256:
- ffdc07a813ccb175943453a197bc878d6789a59b4a980cb9a40f867bb5b3df1f
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