Instructions to use Nuo97/COMEDY_7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nuo97/COMEDY_7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Nuo97/COMEDY_7B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Nuo97/COMEDY_7B") model = AutoModelForCausalLM.from_pretrained("Nuo97/COMEDY_7B") - Notebooks
- Google Colab
- Kaggle
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README.md
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# COMEDY: COmpressive Memory-Enhanced Dialogue sYstems framework.
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Github: https://github.com/nuochenpku/COMEDY
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pipeline_tag: question-answering
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# COMEDY: COmpressive Memory-Enhanced Dialogue sYstems framework.
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Github: https://github.com/nuochenpku/COMEDY
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Paper: https://arxiv.org/abs/2402.11975.pdf
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