Instructions to use Andron00e/CLIPForImageClassification-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andron00e/CLIPForImageClassification-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Andron00e/CLIPForImageClassification-v1") 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("Andron00e/CLIPForImageClassification-v1") model = AutoModelForImageClassification.from_pretrained("Andron00e/CLIPForImageClassification-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 115c4ce7ba3fc53196a2bfe82e376c61d906eb74a1e3912fa9ad78fbb3326021
- Size of remote file:
- 605 MB
- SHA256:
- d534a58f7ea5304ed77199a59564af7dcf8a1787f29991c5f550b41e1861e290
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