Instructions to use iamcodio/codio-rogerian-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iamcodio/codio-rogerian-v1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("iamcodio/codio-rogerian-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from iamcodio/codio-rogerian-v1: direct link, hf CLI and curl.
- Browser
- Download file 5.65 kB
-
https://huggingface.co/iamcodio/codio-rogerian-v1/resolve/main/training_args.bin
- Command line
-
hf download hf://iamcodio/codio-rogerian-v1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/iamcodio/codio-rogerian-v1/resolve/main/training_args.bin
5.65 kB
- Xet hash:
- 8f5c2a0369a5b34ddba4a0109d7c5b7d4aa8f6085c5ff66ad5a0e0f9851ac925
- Size of remote file:
- 5.65 kB
- SHA256:
- 4e2b86dc2d5992a09cef0b26dd942e4e645862f45740bf088fd80971b582b36f
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