Instructions to use diffusionfamily/diffugpt-m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diffusionfamily/diffugpt-m with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("diffusionfamily/diffugpt-m") model = AutoModel.from_pretrained("diffusionfamily/diffugpt-m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from diffusionfamily/diffugpt-m: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/diffusionfamily/diffugpt-m/resolve/d54fd77eb79e2fde6cdc9ef3f01f81a8b9a2de51/training_args.bin
- Command line
-
hf download hf://diffusionfamily/diffugpt-m@d54fd77eb79e2fde6cdc9ef3f01f81a8b9a2de51/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/diffusionfamily/diffugpt-m/resolve/d54fd77eb79e2fde6cdc9ef3f01f81a8b9a2de51/training_args.bin
5.37 kB
- Xet hash:
- c85a2d0b3a22b2f31a1627dc805eb2ee92a9a032c7d70e3f2a4c87207063c22d
- Size of remote file:
- 5.37 kB
- SHA256:
- e6009489b550fe3855aec21e012dad6819c0b3a2f13428f282225db97ce56118
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