Instructions to use walter2/aaaaa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use walter2/aaaaa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="walter2/aaaaa") 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("walter2/aaaaa") model = AutoModelForImageClassification.from_pretrained("walter2/aaaaa") - Notebooks
- Google Colab
- Kaggle
Upload training_args.bin
Browse files- training_args.bin +3 -0
training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b3899d96d01627e94406c14f7f2c45ef66d94a7fb699ca47ef92c1982d62ce96
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size 3387
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