Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use itsTomLie/image_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use itsTomLie/image_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="itsTomLie/image_classification", device_map="auto") 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("itsTomLie/image_classification") model = AutoModelForImageClassification.from_pretrained("itsTomLie/image_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1573ef860637bdfe906e7e9af9ee900d79b8634674024e822327b32a2ddad1fd
- Size of remote file:
- 343 MB
- SHA256:
- 0c385d39a08a479cf6120a3d23c6f2c1708abe8abb069cb852e0b0d59655fb18
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