Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use joshjrreynaldo/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joshjrreynaldo/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="joshjrreynaldo/image_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("joshjrreynaldo/image_classification") model = AutoModelForImageClassification.from_pretrained("joshjrreynaldo/image_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58df37839ba66bb44e6f7510dce6513f059a5dbc6798aa773ac7d8d9f5141af9
- Size of remote file:
- 4.6 kB
- SHA256:
- c6632b777ef3dfb6e38ea84849939a9436cc3972dcf0e7e39aa746d28c6f72bb
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