Instructions to use Inishds/loraretriever-Llama-3_1-8B-code with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Inishds/loraretriever-Llama-3_1-8B-code with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "Inishds/loraretriever-Llama-3_1-8B-code") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d54192ca0c45db371dbfe3efab8842b3aa032588c4ec811ed5083c9bd3fef58
- Size of remote file:
- 5.24 kB
- SHA256:
- fbdfc7ed3085b0595021362cebe71d17706d786365c2da8192db1e3eeaf907e0
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