Instructions to use Tonic/gpt-oss-multilingual-reasoner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tonic/gpt-oss-multilingual-reasoner with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Tonic/gpt-oss-multilingual-reasoner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Tonic/gpt-oss-multilingual-reasoner: direct link, hf CLI and curl.
- Browser
- Download file 6.16 kB
-
https://huggingface.co/Tonic/gpt-oss-multilingual-reasoner/resolve/main/training_args.bin
- Command line
-
hf download hf://Tonic/gpt-oss-multilingual-reasoner/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Tonic/gpt-oss-multilingual-reasoner/resolve/main/training_args.bin
6.16 kB
- Xet hash:
- cd6ae4093dde3b5aae658bd44911f5f456e552111d70d9ffe1c1c2e1e351755c
- Size of remote file:
- 6.16 kB
- SHA256:
- 68168b965f8c6329d7b5c66cdfc35d4160e10d303db6bbdf73915d53e803d99a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.