Instructions to use thelabel/image-labeling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thelabel/image-labeling with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="thelabel/image-labeling") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForZeroShotImageClassification processor = AutoProcessor.from_pretrained("thelabel/image-labeling") model = AutoModelForZeroShotImageClassification.from_pretrained("thelabel/image-labeling") - 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 sha256:05bcb21f5c87dcdaff909c6a08a1c270fce49889b8e2ed769d72e0a3895d1b37
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size 605187888
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