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:
- 37f46b0e155a5ee65e8da0baf7404e3cfef3c010ec87828a59d5cbfd262ea6f9
- Size of remote file:
- 3.96 kB
- SHA256:
- 6e1be30832b6775939072b467b5767bc1c8cc25eaada455b855a136d1347c817
路
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