Instructions to use pickapic-anonymous/PickScore_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pickapic-anonymous/PickScore_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-image-classification", model="pickapic-anonymous/PickScore_v1") 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("pickapic-anonymous/PickScore_v1") model = AutoModelForZeroShotImageClassification.from_pretrained("pickapic-anonymous/PickScore_v1") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ef31ef6fc5ff4d9bb90dd232df4e145887ba62c5a03aa2841415f8c25f18d52e
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size 3944552236
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