Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use Subhaaannn/image_classification12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Subhaaannn/image_classification12 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Subhaaannn/image_classification12") 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("Subhaaannn/image_classification12") model = AutoModelForImageClassification.from_pretrained("Subhaaannn/image_classification12") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- runs/Feb16_15-52-19_77917cf047ab/events.out.tfevents.1708098749.77917cf047ab.1256.8 +3 -0
- runs/Feb16_15-52-19_77917cf047ab/events.out.tfevents.1708098840.77917cf047ab.1256.9 +3 -0
- runs/Feb16_15-54-57_77917cf047ab/events.out.tfevents.1708098916.77917cf047ab.1256.10 +3 -0
- runs/Feb16_15-55-48_77917cf047ab/events.out.tfevents.1708098963.77917cf047ab.1256.11 +3 -0
- training_args.bin +1 -1
runs/Feb16_15-52-19_77917cf047ab/events.out.tfevents.1708098749.77917cf047ab.1256.8
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