Instructions to use therealcyberlord/bigcatvit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use therealcyberlord/bigcatvit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="therealcyberlord/bigcatvit") 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("therealcyberlord/bigcatvit") model = AutoModelForImageClassification.from_pretrained("therealcyberlord/bigcatvit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9168e22588a948ab97f6fb7ce8956c2d58489f8bf83e46d867e69e81e379a21d
- Size of remote file:
- 3.45 kB
- SHA256:
- 38d6716f3e7bf1023e34c78a7b9cf008f3ed7bb34766f56239947ca2c946fc68
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