Instructions to use rooftopcoder/bert-base-uncased-coqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rooftopcoder/bert-base-uncased-coqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="rooftopcoder/bert-base-uncased-coqa")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("rooftopcoder/bert-base-uncased-coqa") model = AutoModelForQuestionAnswering.from_pretrained("rooftopcoder/bert-base-uncased-coqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a256fc285cec3081416001a1c3fc32788f484c019e5fe20b236bc9bd43ddee1
- Size of remote file:
- 436 MB
- SHA256:
- d0024210a60d511b0dc672dadf3e261b85894976c30ca471a721ce7bd3e554c2
路
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