Instructions to use Transformers123/testing_202 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Transformers123/testing_202 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Transformers123/testing_202") model = SegformerForSemanticSegmentation.from_pretrained("Transformers123/testing_202", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Transformers123/testing_202: direct link, hf CLI and curl.
- Browser
- Download file 14.9 MB
-
https://huggingface.co/Transformers123/testing_202/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Transformers123/testing_202/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Transformers123/testing_202/resolve/main/pytorch_model.bin
14.9 MB
- Xet hash:
- cc003c866620b6012ed24e16918e8c1ff4b94d155951d22d0a6641b7d8b4bb29
- Size of remote file:
- 14.9 MB
- SHA256:
- 3827f2a4a9594390d7bc5e713cdd7b2ec1518b8ab2324f96e3067330cac55dee
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