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
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datasets:
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- beans
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type: beans
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args: default
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metrics:
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- image-classification
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- other-image-classification
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- Vit
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datasets:
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- beans
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metrics:
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type: beans
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 1
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pipeline_tag: image-classification
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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