Instructions to use CambridgeMolecularEngineering/bert-large-cased-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CambridgeMolecularEngineering/bert-large-cased-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="CambridgeMolecularEngineering/bert-large-cased-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("CambridgeMolecularEngineering/bert-large-cased-squad") model = AutoModelForQuestionAnswering.from_pretrained("CambridgeMolecularEngineering/bert-large-cased-squad") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1362b7bb97f2321ed86b6c2af91eaf19be00e4291f963217898e6abcab0445e
- Size of remote file:
- 1.33 GB
- SHA256:
- 79e00e21da425f159fe0b8c1c76933dfdd1340997163bcfbaf2a1cd9123856d3
路
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