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
- Xet hash:
- 41c8c548f6585c1664ac264ea05de2510477484b9fb62fbed771d9f9131e7e41
- Size of remote file:
- 33.6 MB
- SHA256:
- 116e8a3538007a9612070f62282c3186a4f59d52065ea73523b3689ea2112041
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