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:
- b122f8c22239bd0bbbc592ca7bd1322de9c0c247cbc5a97b11b8974d3769c22e
- Size of remote file:
- 343 MB
- SHA256:
- 7f45af849e681ff81bbd0923e013cdd65d9084fc344c3bc8c10f317a52ee1056
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