Instructions to use Inishds/loraretriever-math-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Inishds/loraretriever-math-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("hf-internal-testing/tiny-random-LlamaForCausalLM") model = PeftModel.from_pretrained(base_model, "Inishds/loraretriever-math-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f6c19a69bab33243c33faddb18aa0fdc07e1995d4934857c3ca68435963182a
- Size of remote file:
- 5.24 kB
- SHA256:
- efcae09d318373d1037138c06954e74481d614d3487e95027be9cd39dea7b702
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