Instructions to use chandra1976/vit-finetuned-chessman with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chandra1976/vit-finetuned-chessman with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="chandra1976/vit-finetuned-chessman") 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("chandra1976/vit-finetuned-chessman") model = AutoModelForImageClassification.from_pretrained("chandra1976/vit-finetuned-chessman", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d91848c370b1c739ca4d0f9c28db8f1d8548c5c576f9268808905a650ea29eab
- Size of remote file:
- 5.84 kB
- SHA256:
- a59baeeb9a79acc0646b84071d2d00421bac139ccebe368001247b9ea736760e
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