Instructions to use DISLab/Gen-8B-R2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DISLab/Gen-8B-R2 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="DISLab/Gen-8B-R2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("DISLab/Gen-8B-R2") model = AutoModelForCausalLM.from_pretrained("DISLab/Gen-8B-R2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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<b style="font-size: 40px;">Gen-8B-R2</b>
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temperature=0.8,
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top_p=0.9,
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```
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library_name: transformers
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---
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<div align="center">
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<b style="font-size: 40px;">Gen-8B-R2</b>
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</div>
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temperature=0.8,
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top_p=0.9,
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```
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