Instructions to use NeuML/bert-small-cord19-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NeuML/bert-small-cord19-squad2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="NeuML/bert-small-cord19-squad2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("NeuML/bert-small-cord19-squad2") model = AutoModelForQuestionAnswering.from_pretrained("NeuML/bert-small-cord19-squad2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b7e755027b11e280d6dae2ebc306d6cb7eb0c4913d31c11f946aecc1eb7ea482
- Size of remote file:
- 56.5 MB
- SHA256:
- a25352adb9179954c4ce67c446a57f696fdc24dd2d970f3ae2f1998506c5342d
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