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
- Xet hash:
- a5c50b8603e4a0afc0cd9f45324b0dd7200098b6f072cc8eab083ed2cdc3a028
- Size of remote file:
- 51 MB
- SHA256:
- d4c10d209edb9b9bef8c1ca8297e5dac5c6b0db782c61cee49476ddf859db2ab
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