Instructions to use Transformers123/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Transformers123/output with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, SegformerForSemanticSegmentation processor = AutoImageProcessor.from_pretrained("Transformers123/output") model = SegformerForSemanticSegmentation.from_pretrained("Transformers123/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Transformers123/output: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/Transformers123/output/resolve/main/training_args.bin
- Command line
-
hf download hf://Transformers123/output/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Transformers123/output/resolve/main/training_args.bin
4.03 kB
- Xet hash:
- 72556d7934d5aba457578ff97a6de6a328de9a592ba6be4134f3f182aacadf89
- Size of remote file:
- 4.03 kB
- SHA256:
- 9f9afff85df0ff31659e17d83a64d58ee90529aeadecae3bb50222fbad7b1b9b
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