Instructions to use fxmarty/resnet-tiny-beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fxmarty/resnet-tiny-beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="fxmarty/resnet-tiny-beans") 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("fxmarty/resnet-tiny-beans") model = AutoModelForImageClassification.from_pretrained("fxmarty/resnet-tiny-beans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from fxmarty/resnet-tiny-beans: direct link, hf CLI and curl.
- Browser
- Download file 3.25 kB
-
https://huggingface.co/fxmarty/resnet-tiny-beans/resolve/main/training_args.bin
- Command line
-
hf download hf://fxmarty/resnet-tiny-beans/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/fxmarty/resnet-tiny-beans/resolve/main/training_args.bin
3.25 kB
- Xet hash:
- f9a3c998fe231a0243e4ff034981f2f36488d5941d12ef8d16d10e79979b4976
- Size of remote file:
- 3.25 kB
- SHA256:
- 13f995d165c04c3c118f5c21afe17c0d39044ae9da7d219b25f847ae379e4332
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