Instructions to use vuongnhathien/save-model-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vuongnhathien/save-model-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="vuongnhathien/save-model-final") 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("vuongnhathien/save-model-final") model = AutoModelForImageClassification.from_pretrained("vuongnhathien/save-model-final") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6c457e674bab8a0a2868a08a868740b8d59201df3b606c39d1f1888841a1e35
- Size of remote file:
- 4.92 kB
- SHA256:
- b9272066395d1547ebd77a5e0715adda517cce1cd11f98672dadab5d0cd187aa
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