Instructions to use vgorce/phi2-samsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vgorce/phi2-samsum with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/phi-2") model = PeftModel.from_pretrained(base_model, "vgorce/phi2-samsum") - Notebooks
- Google Colab
- Kaggle
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# phi2-samsum
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on
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It achieves the following results on the evaluation set:
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- Loss: 2.2606
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# phi2-samsum
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This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the [samsum dataset](https://huggingface.co/datasets/samsum).
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It achieves the following results on the evaluation set:
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- Loss: 2.2606
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