Instructions to use Shrinidhisuresha/llmexp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Shrinidhisuresha/llmexp with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-560m") model = PeftModel.from_pretrained(base_model, "Shrinidhisuresha/llmexp") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e30a564916a0bba3f07e9539fdc9efba92024da025715c03bb90287e9651774
- Size of remote file:
- 6.31 MB
- SHA256:
- 330d72d2fdcc8fe7929f6433e4c87614f0cbf4504708375768d4f61d7a272de9
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