Instructions to use Transformers123/testing_100_epoches with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Transformers123/testing_100_epoches with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Transformers123/testing_100_epoches") model = SegformerForSemanticSegmentation.from_pretrained("Transformers123/testing_100_epoches", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Transformers123/testing_100_epoches: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/Transformers123/testing_100_epoches/resolve/main/training_args.bin
- Command line
-
hf download hf://Transformers123/testing_100_epoches/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Transformers123/testing_100_epoches/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- f47d82a3264e77532fe7cdd68121ecae064ea143a89d8f04d3ef557cd4ba5a5e
- Size of remote file:
- 4.09 kB
- SHA256:
- 0743862b7e940808bc0851597593b9aee6514488cd3b9a1d3b1e18afc4547b18
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