Instructions to use OscarXZQ/logical_deduction_five_objects with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use OscarXZQ/logical_deduction_five_objects 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, "OscarXZQ/logical_deduction_five_objects") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 065cf6425cf8a8c2ed4e798e69889368cc4429b1505fdbded9b20d6a18e29f7b
- Size of remote file:
- 6.01 kB
- SHA256:
- 9fcefa58d60403c6e230bb8f80c3b6162c91859e0bd040e539bf9bcc408dfb4f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.