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:
- 343e2408804e4a6096a586b255a332b6ef63193f630135967bf29a5a9e27d273
- Size of remote file:
- 3.96 kB
- SHA256:
- 49a6091d162d2669733a3ed791f71d4a00e215d031c5c78c9da0fdf413fa23bb
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