Instructions to use Faradaylab/Aria_7b_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Faradaylab/Aria_7b_v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-chat-hf") model = PeftModel.from_pretrained(base_model, "Faradaylab/Aria_7b_v2") - Notebooks
- Google Colab
- Kaggle
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Parent(s): 10064ab
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README.md
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library_name: peft
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inference: true
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ARIA 7B V2 is a model created by Faraday 🇫🇷 🇧🇪
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### Framework versions
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- PEFT 0.6.0.dev0
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library_name: peft
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inference: true
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pipeline_tag: text-generation
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---
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ARIA 7B V2 is a model created by Faraday 🇫🇷 🇧🇪
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### Framework versions
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- PEFT 0.6.0.dev0
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