Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use arpanl/Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arpanl/Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="arpanl/Model") 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("arpanl/Model") model = AutoModelForImageClassification.from_pretrained("arpanl/Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Feb01_05-55-23_b6a4cb5abd69
- Mar20_12-35-11_d7b8f98e6a10
- Mar20_12-39-33_d7b8f98e6a10
- Mar20_12-51-32_d7b8f98e6a10
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- Mar20_13-13-51_d7b8f98e6a10
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- Mar21_04-40-45_059120fe4fe5
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- Mar21_04-47-05_059120fe4fe5
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- Mar21_04-55-41_059120fe4fe5
- Mar21_05-18-06_059120fe4fe5
- Mar21_08-27-06_059120fe4fe5