Instructions to use mou3az/IT-General_Question-Generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mou3az/IT-General_Question-Generation with PEFT:
from peft import PeftModel from transformers import AutoModelForSeq2SeqLM base_model = AutoModelForSeq2SeqLM.from_pretrained("facebook/bart-base") model = PeftModel.from_pretrained(base_model, "mou3az/IT-General_Question-Generation") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Update Hugging Face dataset ID
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by librarian-bot - opened
README.md
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license: apache-2.0
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datasets:
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- squad_v2
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- drop
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- mou3az/IT_QA-QG
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language:
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- en
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library_name: transformers
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tags:
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- IT purpose
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- General purpose
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- Text2text Generation
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metrics:
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- bertscore
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- accuracy
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---
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language:
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- en
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license: apache-2.0
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library_name: transformers
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tags:
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- IT purpose
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- General purpose
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- Text2text Generation
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datasets:
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- squad_v2
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- ucinlp/drop
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- mou3az/IT_QA-QG
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metrics:
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- bertscore
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- accuracy
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