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 pytorch_model.bin from Transformers123/testing_100_epoches: direct link, hf CLI and curl.
- Browser
- Download file 110 MB
-
https://huggingface.co/Transformers123/testing_100_epoches/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Transformers123/testing_100_epoches/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Transformers123/testing_100_epoches/resolve/main/pytorch_model.bin
110 MB
- Xet hash:
- 2fcba741a42e71532d0991c9d322e0e75ad83500222ea0b55ab8b4b68970c452
- Size of remote file:
- 110 MB
- SHA256:
- d611f479503a3cb606f62ba856528d269959bd3fec5d5c251054830f6733c53b
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