Instructions to use 1-lock/ba808ad5-6897-453a-96e8-65d7ed43d9f8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/ba808ad5-6897-453a-96e8-65d7ed43d9f8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct") model = PeftModel.from_pretrained(base_model, "1-lock/ba808ad5-6897-453a-96e8-65d7ed43d9f8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0504a3f5fc120e8152832976d3b21cc9c5660d42362ef1b8c748d6be644562ce
- Size of remote file:
- 336 MB
- SHA256:
- 54b18c218510cdb4526d742f6b23aa78d1a9f5b5789f1dbed0da6877ab039339
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