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:
- d9e907fbc096080dc620282b638fdd700bd8544cd3a2d2153a75c4e1453546d6
- Size of remote file:
- 3.9 kB
- SHA256:
- ccf803d91fe5e14d06c550f007d496384c01d768b58443bc475dea99bf5a8c92
路
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