Instructions to use platzi/platzi-vit-model-einoa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use platzi/platzi-vit-model-einoa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="platzi/platzi-vit-model-einoa") 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("platzi/platzi-vit-model-einoa") model = AutoModelForImageClassification.from_pretrained("platzi/platzi-vit-model-einoa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf25dfadfd3ebe4d5ec1d311e66ab0e4f04f6e293cce20839e958a8988070f74
- Size of remote file:
- 5.24 kB
- SHA256:
- 7330215e64523e9e1b2da14c0f2f527f4adc2480eb6c7a7442f2532d6471fda5
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