Instructions to use emre570/google-vit-large-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emre570/google-vit-large-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="emre570/google-vit-large-finetuned") 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("emre570/google-vit-large-finetuned") model = AutoModelForImageClassification.from_pretrained("emre570/google-vit-large-finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77369ecbdbf88c7022b9e43c096ef85fe4839abc1a395fcf4715265b7b575005
- Size of remote file:
- 4.86 kB
- SHA256:
- 52687b65f9d6d4c07e09fec56b9cef39541528f990e60ca9175a8537158d8089
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