Instructions to use VilohitT/question_answering_majorproject_2nd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VilohitT/question_answering_majorproject_2nd with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloom-3b") model = PeftModel.from_pretrained(base_model, "VilohitT/question_answering_majorproject_2nd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e121fd1c74ee556086b799a2ba06893188f10f66da9aef27f0da5f8754be5cf5
- Size of remote file:
- 9.85 MB
- SHA256:
- aa0d5e1b957b9937c6f1dae9fc6f5356c82c098c773e2c72188716c926380110
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.