Instructions to use Inishds/loraretriever-7b-math with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Inishds/loraretriever-7b-math 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-math") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6a150df639f2b3f8a9cc8273ed80059881b8607705c52c6033f220f286b787bb
- Size of remote file:
- 5.24 kB
- SHA256:
- da7f8e15be5232781e6716c953d4044dbc44236d8d0ba39bec533854fff27ab5
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