Instructions to use danks6/llm_flan_fineTuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use danks6/llm_flan_fineTuned with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-large") model = PeftModel.from_pretrained(base_model, "danks6/llm_flan_fineTuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6339e71600a733e2e18193ab1d02f0ebdd82fc1f800aa1687fff27f4b7983c63
- Size of remote file:
- 4.22 kB
- SHA256:
- ab857a13669c90392c492b70481b0f6d21f12a9c6bd99f50572c91976080ffbd
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