Image Classification
Transformers
PyTorch
TensorBoard
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use camiloTel0410/bean-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use camiloTel0410/bean-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="camiloTel0410/bean-classifier") 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("camiloTel0410/bean-classifier") model = AutoModelForImageClassification.from_pretrained("camiloTel0410/bean-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d8b1ab8b6f4a3ec3bb980ea76e6ed42c01fafab6cd0d941f33c92b0765a4370f
- Size of remote file:
- 4.02 kB
- SHA256:
- 992e5049bdbbb3100da7841e501720645efcd83f3940c4fdcd833de81f95fc56
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