Question Answering
Transformers
Safetensors
English
llama
text-generation
rag
text-generation-inference
Instructions to use DISLab/Ext2Gen-8B-R2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DISLab/Ext2Gen-8B-R2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="DISLab/Ext2Gen-8B-R2")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("DISLab/Ext2Gen-8B-R2") model = AutoModelForCausalLM.from_pretrained("DISLab/Ext2Gen-8B-R2") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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language:
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license: apache-2.0
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pipeline_tag:
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tags:
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- rag
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library_name: transformers
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See the results in the Figure below:
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language:
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license: apache-2.0
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pipeline_tag: question-answering
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tags:
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- rag
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library_name: transformers
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See the results in the Figure below:
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