Instructions to use Data255FinalProj/bert-gd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Data255FinalProj/bert-gd with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Data255FinalProj/bert-gd")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Data255FinalProj/bert-gd") model = AutoModelForQuestionAnswering.from_pretrained("Data255FinalProj/bert-gd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b40f3167673da2e2c7353cea0aaa0e54d5ff07038d781a7f05a2052b78887dcd
- Size of remote file:
- 431 MB
- SHA256:
- 87ff6d4dfecd80676d32ea5681728d6a6c521f44202e424e99033ca592413aca
路
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