Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use Asseh/Ball_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Asseh/Ball_Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Asseh/Ball_Classification") 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("Asseh/Ball_Classification") model = AutoModelForImageClassification.from_pretrained("Asseh/Ball_Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b14dc878fdc2ec5116fd220932f087ee1f7838d7926a33f000a9667ac949515c
- Size of remote file:
- 343 MB
- SHA256:
- 77220425d85a14235fb4e28de73189ce8e783fd559315b4cc2bae01547b698b5
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