Instructions to use interneuronai/az-question-answering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use interneuronai/az-question-answering with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="interneuronai/az-question-answering")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("interneuronai/az-question-answering") model = AutoModelForQuestionAnswering.from_pretrained("interneuronai/az-question-answering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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# Citation
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Please cite this model as follows:
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@misc {alas_development_center_2024,
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author = { {Alas Development Center} },
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title = { az-question-answering
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year = 2024,
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url = { https://huggingface.co/alasdevcenter/az-question-answering },
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doi = { 10.57967/hf/2027 },
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publisher = { Hugging Face }
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}
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# Citation
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Please cite this model as follows:
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```
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@misc {alas_development_center_2024,
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author = { {Alas Development Center} },
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title = { az-question-answering},
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year = 2024,
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url = { https://huggingface.co/alasdevcenter/az-question-answering },
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doi = { 10.57967/hf/2027 },
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publisher = { Hugging Face }
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}
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```
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