Instructions to use Utkarsh524/codellama_utests_embedded_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Utkarsh524/codellama_utests_embedded_v2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("codellama/CodeLlama-7b-hf") model = PeftModel.from_pretrained(base_model, "Utkarsh524/codellama_utests_embedded_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- acc246e60b35efca330ee13aeaa99596b30f51c1c8e0bf3a3212525ae32dfc69
- Size of remote file:
- 5.71 kB
- SHA256:
- 0676ef69a33e9bf2258b0843d2bd89e3888fd408beb8efd7cfd8505a3a0ace8a
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