Image Classification
Transformers
PyTorch
TensorBoard
vit
other-image-classification
Generated from Trainer
Vit
Eval Results (legacy)
Instructions to use Mytical/ClassificationOfLeaves with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mytical/ClassificationOfLeaves with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Mytical/ClassificationOfLeaves") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Mytical/ClassificationOfLeaves") model = AutoModelForImageClassification.from_pretrained("Mytical/ClassificationOfLeaves", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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Este modelo es una versi贸n mejorada de [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) en el conjunto de datos beans.
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Obtiene los siguientes resultados en el conjunto de evaluaci贸n:
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- P茅rdida: 0
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- Precisi贸n:
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## Descripci贸n del modelo
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Este modelo es una versi贸n mejorada de [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) en el conjunto de datos beans.
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Obtiene los siguientes resultados en el conjunto de evaluaci贸n:
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- P茅rdida: 0.0637
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- Precisi贸n: 0.985
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## Descripci贸n del modelo
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