Instructions to use PrimeQA/MITQA_hybridqa_multi_answer_answer_extractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PrimeQA/MITQA_hybridqa_multi_answer_answer_extractor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="PrimeQA/MITQA_hybridqa_multi_answer_answer_extractor")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("PrimeQA/MITQA_hybridqa_multi_answer_answer_extractor") model = AutoModelForQuestionAnswering.from_pretrained("PrimeQA/MITQA_hybridqa_multi_answer_answer_extractor") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0465091f72b5a64cb3389addec56550e7ced80f571910d7bcfe5ac085162c85e
- Size of remote file:
- 1.34 GB
- SHA256:
- d1587e7e30132aed28d13462c22460e57e02fc4572efd46271531be77c5cf7fd
路
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