Instructions to use Fuat55/brain_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fuat55/brain_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Fuat55/brain_model") 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") model = AutoModelForImageClassification.from_pretrained("Fuat55/brain_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Fuat55/brain_model: direct link, hf CLI and curl.
- Browser
- Download file 4.6 kB
-
https://huggingface.co/Fuat55/brain_model/resolve/main/training_args.bin
- Command line
-
hf download hf://Fuat55/brain_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Fuat55/brain_model/resolve/main/training_args.bin
4.6 kB
- Xet hash:
- 6015ea01bd22585fd34de77713951dad2e088de48d2116f756dec76a89e5aac9
- Size of remote file:
- 4.6 kB
- SHA256:
- 2972dab576c4e2859e02a3eb389560a95495cabf2ee2b26cb0e1c56101b50a16
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