Instructions to use peter881122/freewaynModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peter881122/freewaynModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="peter881122/freewaynModel") 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("peter881122/freewaynModel") model = AutoModelForImageClassification.from_pretrained("peter881122/freewaynModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47d8c872a2b1e7230773666c96b77172485c4e6859381f09422716d1d16a90ab
- Size of remote file:
- 111 MB
- SHA256:
- bbc7fae7470b21410e3347bf84f6ccd44cb304f496e7fa6422af1befa0f06757
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