Instructions to use Inishds/loraretriever-7b-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Inishds/loraretriever-7b-es with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "Inishds/loraretriever-7b-es") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bbfcc8f4deb9768c2876c9f5039c8f01e7315cdd0c7b0ca27476deb75192e8ae
- Size of remote file:
- 5.24 kB
- SHA256:
- 1f1d3844e0d32911416a3e013cc37fadf53c9bf313b0f1d22ee5254cd8eda1e0
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