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:
- a9590b9e5c7c0a06b49afc5fffda1285df96d606840fa1e9f22f0611f471c5f1
- Size of remote file:
- 140 MB
- SHA256:
- 7543bbf574cb84aad31e55f6c7fcf89413b511c928f8f61234a0d20dcd1dafaa
路
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