Instructions to use vimal52/Alpacabase_LoRa_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vimal52/Alpacabase_LoRa_test with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("google/flan-t5-base") model = PeftModel.from_pretrained(base_model, "vimal52/Alpacabase_LoRa_test") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aaae20874f2bc34ea6c3d360cc62412be19c4e5453c201b9e2e55ae7a3241983
- Size of remote file:
- 3.59 MB
- SHA256:
- 64be11d82bdd88d708946edd1b77187bb1655da99bb79cad1f5fd7444cb41ebd
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