Image Classification
Transformers
PyTorch
TensorBoard
beit
Generated from Trainer
Eval Results (legacy)
Instructions to use Thamer/beit_large512_fine_tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Thamer/beit_large512_fine_tuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Thamer/beit_large512_fine_tuned") 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("Thamer/beit_large512_fine_tuned") model = AutoModelForImageClassification.from_pretrained("Thamer/beit_large512_fine_tuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Thamer/beit_large512_fine_tuned: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/Thamer/beit_large512_fine_tuned/resolve/main/training_args.bin
- Command line
-
hf download hf://Thamer/beit_large512_fine_tuned/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Thamer/beit_large512_fine_tuned/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- 0f85ab0de6feacf8ecf52a1f588714ef6672b1608fade5632296db30d3443ff8
- Size of remote file:
- 3.96 kB
- SHA256:
- 01df3b60b3412b00b3cd89ca73e1ff99c588268fe25909e51c48a5d746549639
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