Instructions to use adrake17/Meta-Llama-3-8B-Instruct-Amazon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use adrake17/Meta-Llama-3-8B-Instruct-Amazon with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "adrake17/Meta-Llama-3-8B-Instruct-Amazon") - Notebooks
- Google Colab
- Kaggle
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README.md
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library_name: peft
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base_model: meta-llama/Meta-Llama-3-8B-Instruct
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---
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# Model Card for Model ID
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library_name: peft
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base_model: meta-llama/Meta-Llama-3-8B-Instruct
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license: mit
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datasets:
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- McAuley-Lab/Amazon-Reviews-2023
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language:
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- en
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metrics:
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- rouge
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pipeline_tag: text-generation
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---
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# Model Card for Model ID
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