Instructions to use OscarXZQ/logical_deduction_three_objects with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use OscarXZQ/logical_deduction_three_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_three_objects") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7dba8f1b791f9d4f8f8e1e988219b819a191a46cc3082dd55b7dd5eb47e92953
- Size of remote file:
- 38 MB
- SHA256:
- c7516b9964697e1bed25cc86b61aecfdc02ac750fc24acbd8228a721ba7b665e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.