Instructions to use korazer/chart-test-classify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use korazer/chart-test-classify with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="korazer/chart-test-classify") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("korazer/chart-test-classify") model = AutoModelForImageClassification.from_pretrained("korazer/chart-test-classify", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:80bf18ce3a2d74545f9c198fcbc3fb6d4890f83ef4898737bec83a21bd1e4998
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size 343223968
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