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:
- 898c906cc887d8a7188ba983bb2aca8d59ecd2c2c67d5660ff1856ac7f4697cc
- Size of remote file:
- 436 MB
- SHA256:
- ac4a05bd5b8bd0f9d20dd212acd4fd533b700dafb7b360af2ad6300339aab225
路
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