Instructions to use api19750904/VM-Fast_Check with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use api19750904/VM-Fast_Check with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="api19750904/VM-Fast_Check") 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("api19750904/VM-Fast_Check") model = AutoModelForImageClassification.from_pretrained("api19750904/VM-Fast_Check", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c782e5e7c01f0ea268d6a7fd1743d68e6d7a104aa2ab4fd68e8d1e57d437e0d
- Size of remote file:
- 343 MB
- SHA256:
- 9e8aa526df08bc12e8312c0041ca80b97872b166a5ba17eee9b27260ba599dd9
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