Image Classification
Transformers
PyTorch
TensorBoard
English
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use stbnlen/pokemon_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stbnlen/pokemon_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="stbnlen/pokemon_classifier") 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("stbnlen/pokemon_classifier") model = AutoModelForImageClassification.from_pretrained("stbnlen/pokemon_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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- name: Accuracy
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type: accuracy
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value: 0.08848920863309352
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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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- name: Accuracy
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type: accuracy
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value: 0.08848920863309352
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datasets:
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- keremberke/pokemon-classification
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language:
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- en
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pipeline_tag: image-classification
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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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