Instructions to use kinshuk-h/flan-t5-retacred-kg-direct-peft-qlora-bnb-w-context-large-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kinshuk-h/flan-t5-retacred-kg-direct-peft-qlora-bnb-w-context-large-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, "kinshuk-h/flan-t5-retacred-kg-direct-peft-qlora-bnb-w-context-large-finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be28d3d082c0c0c111028de576e02290078b9611db4f6815677a1e0dcb56ddbe
- Size of remote file:
- 9.54 MB
- SHA256:
- e776a7579dcfe9afb1f826b64a4251e4251454e8449907dee1c760df083e5033
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