Instructions to use CambridgeMolecularEngineering/bert-base-cased-scmedium-scqa2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CambridgeMolecularEngineering/bert-base-cased-scmedium-scqa2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="CambridgeMolecularEngineering/bert-base-cased-scmedium-scqa2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("CambridgeMolecularEngineering/bert-base-cased-scmedium-scqa2") model = AutoModelForQuestionAnswering.from_pretrained("CambridgeMolecularEngineering/bert-base-cased-scmedium-scqa2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7788e23841dfc23d937e44636f90868c474880760af7718387dc56978b458b26
- Size of remote file:
- 5.04 kB
- SHA256:
- d8e854b4e6e950b978d95c50a98b47d1b090bff2ae44b62c3c0c68065a3e9019
路
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