Instructions to use Fuat55/brain_model_normal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fuat55/brain_model_normal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Fuat55/brain_model_normal") 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("Fuat55/brain_model_normal") model = AutoModelForImageClassification.from_pretrained("Fuat55/brain_model_normal", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Fuat55/brain_model_normal: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/Fuat55/brain_model_normal/resolve/main/training_args.bin
- Command line
-
hf download hf://Fuat55/brain_model_normal/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Fuat55/brain_model_normal/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 4786371d9536dc10efbdc683a4233a5af36f20eed92c12bae62614771c088a7a
- Size of remote file:
- 4.92 kB
- SHA256:
- 83b63db9c97df1a8e6af80e5e80f2a1374ccf782197b84e4eeaebe0a17546ea4
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