Instructions to use abelkrw/beans_image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abelkrw/beans_image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="abelkrw/beans_image_classification") 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("abelkrw/beans_image_classification") model = AutoModelForImageClassification.from_pretrained("abelkrw/beans_image_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from abelkrw/beans_image_classification: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/abelkrw/beans_image_classification/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://abelkrw/beans_image_classification@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/abelkrw/beans_image_classification/resolve/refs%2Fpr%2F1/training_args.bin
4.09 kB
- Xet hash:
- fa65336c960a6732403398ee065208245e69d76f3e6d865423e64c1524f275ae
- Size of remote file:
- 4.09 kB
- SHA256:
- fa3b172ddbf6e25b317622e6c23103e1961d785df60a70462029f8c927daa6f5
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