Instructions to use ggtejas/dispatchr-grpo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ggtejas/dispatchr-grpo with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ggtejas/dispatchr-grpo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download final/training_args.bin from ggtejas/dispatchr-grpo: direct link, hf CLI and curl.
- Browser
- Download file 7.25 kB
-
https://huggingface.co/ggtejas/dispatchr-grpo/resolve/main/final/training_args.bin
- Command line
-
hf download hf://ggtejas/dispatchr-grpo/final/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ggtejas/dispatchr-grpo/resolve/main/final/training_args.bin
7.25 kB
- Xet hash:
- c29873b60cad6fa3b50183d40c294deddae40cae54b5f6322e5aa1e248fbae72
- Size of remote file:
- 7.25 kB
- SHA256:
- 630784260deb1216a2fefafe278ed3d3ff2d74acbc9048c646f1812464900210
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