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:
- 99038ddb2c5801431f6162b439297af33d4ef2979cf7dc0a47f8e926b46d1055
- Size of remote file:
- 1.78 kB
- SHA256:
- 407feab4c87b3d3868d99c2c976637a9847c28bab943beca40aa81035aad2170
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