Instructions to use weege007/gpt-oss-20b-multilingual-reasoner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use weege007/gpt-oss-20b-multilingual-reasoner with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("weege007/gpt-oss-20b-multilingual-reasoner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
README.md
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library_name: transformers
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model_name: gpt-oss-20b-multilingual-reasoner
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tags:
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# Model Card for gpt-oss-20b-multilingual-reasoner
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This model is a fine-tuned version of [None](https://huggingface.co/None).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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datasets: HuggingFaceH4/Multilingual-Thinking
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library_name: transformers
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model_name: gpt-oss-20b-multilingual-reasoner
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tags:
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# Model Card for gpt-oss-20b-multilingual-reasoner
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This model is a fine-tuned version of [None](https://huggingface.co/None) on the [HuggingFaceH4/Multilingual-Thinking](https://huggingface.co/datasets/HuggingFaceH4/Multilingual-Thinking) dataset.
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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