Instructions to use NeuML/bert-small-cord19qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NeuML/bert-small-cord19qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="NeuML/bert-small-cord19qa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("NeuML/bert-small-cord19qa") model = AutoModelForQuestionAnswering.from_pretrained("NeuML/bert-small-cord19qa") - Notebooks
- Google Colab
- Kaggle
Commit 路
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Parent(s): cc7ab7e
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:87448c8a96d3465b53b54527b56d2555914589ce948caf92584072fc5718050d
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size 139230876
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