Instructions to use garavv/NL2linux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use garavv/NL2linux with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.2-1B-Instruct") model = PeftModel.from_pretrained(base_model, "garavv/NL2linux") - Notebooks
- Google Colab
- Kaggle
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Browse files
README.md
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# NL2linux
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This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on
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It achieves the following results on the evaluation set:
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- Loss: 0.7192
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# NL2linux
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This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on [garavv/NL2linux](https://huggingface.co/datasets/garavv/NL2linux)
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It achieves the following results on the evaluation set:
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- Loss: 0.7192
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