Instructions to use microsoft/beit-large-patch16-384 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/beit-large-patch16-384 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="microsoft/beit-large-patch16-384") 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("microsoft/beit-large-patch16-384") model = AutoModelForImageClassification.from_pretrained("microsoft/beit-large-patch16-384", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a4535fdd075af6ffbca47ca240efbd3a406c7c8f9c0fa04acf09c2d4809560af
- Size of remote file:
- 1.28 GB
- SHA256:
- c662bfb04d423e46291e653677e8e5f005b22264ab0747d6daa4c79815bf3fd6
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