Instructions to use AIRLab-POLIMI/llama-2-7b-chat-hf-btgenbot-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AIRLab-POLIMI/llama-2-7b-chat-hf-btgenbot-adapter 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, "AIRLab-POLIMI/llama-2-7b-chat-hf-btgenbot-adapter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 44eb3fe50449171058f38ffd74ab0f71b763903e05e7ae2cfeaaeb89b1b730be
- Size of remote file:
- 80.1 MB
- SHA256:
- 7a7bfea403c0bf4f209fb9d8bfd5b452dcb933d0446f58cef64e6169f8af7cdc
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