Instructions to use gotzmann/1OV80 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gotzmann/1OV80 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "gotzmann/1OV80") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa1d1ebf507c3fc29f720bc84d03ecffe2422ae75c6f77d398d9b105e7fa0e4f
- Size of remote file:
- 4.89 GB
- SHA256:
- 6bafe495d84ff96467a0cf6afcebcd88d52481d3037e8bfccc032b4feab90bfe
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