Instructions to use klcsp/llama3-8b-lora-coding-11-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use klcsp/llama3-8b-lora-coding-11-v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "klcsp/llama3-8b-lora-coding-11-v1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7ef22de27d7f300f1b700846c49688e96e7a496f25fe0a67badf02257b2581a
- Size of remote file:
- 17.2 MB
- SHA256:
- 9d20d6269ae0cc1956acf3b97d290486670787052089ce415eadeac76afb0dea
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