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:
- 2cf185664861bde8d811aef2d8fd4de20afcbd4fe417db1271de9e3dc7b3a967
- Size of remote file:
- 343 MB
- SHA256:
- ee4396e06d202d1ad5d7dbcf5c3b3f717a088e1291ed4366cd6becc8eb95637c
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