Instructions to use ashercn97/code-llama-slay with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ashercn97/code-llama-slay with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("openlm-research/open_llama_3b") model = PeftModel.from_pretrained(base_model, "ashercn97/code-llama-slay") - Notebooks
- Google Colab
- Kaggle
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pipeline_tag: text-generation
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This model is a tester that hopefully codes. Built with axolotl (i dont know how to do the widget thing). Trained for like 1 hour on 2 gpu somethings.
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pipeline_tag: text-generation
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library_name: peft
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This model is a tester that hopefully codes. Built with axolotl (i dont know how to do the widget thing). Trained for like 1 hour on 2 gpu somethings.
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