Instructions to use Adf/test-model-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Adf/test-model-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="Adf/test-model-v3") pipe( "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png", candidate_labels=["animals", "humans", "landscape"], )# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("Adf/test-model-v3") model = AutoModelForZeroShotImageClassification.from_pretrained("Adf/test-model-v3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b90d29bbd64e3108f23f5c9fd13ecb1ad6671d5da07d013f1605da221114d473
- Size of remote file:
- 61.3 MB
- SHA256:
- 3ef2cc8deb9e37805d5e5393ad945ab60a30963516f8adebfd495629a94176b5
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