Instructions to use kadarm/l2_7b_adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kadarm/l2_7b_adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "kadarm/l2_7b_adapter") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd699a59c102eb6fed9da30c86d98e73dfda7b9c42d3e363fe98253a2cee09f0
- Size of remote file:
- 160 MB
- SHA256:
- 639898dc74dbc017bb57a562c29a9184b144ea3a8d8c4b280cf36a58a8189321
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