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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e169bdd41a2cbcd17317a3b3653c4958a6fdc00f6cfa195dbf4db6c74d99935e
- Size of remote file:
- 2.67 GB
- SHA256:
- c240a401f1aeba6532a6d6d583de5b36f34dbe09cc1c7a8922d42eaf52d92247
路
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