Instructions to use veronica320/QA-for-Event-Extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use veronica320/QA-for-Event-Extraction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="veronica320/QA-for-Event-Extraction")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("veronica320/QA-for-Event-Extraction") model = AutoModelForQuestionAnswering.from_pretrained("veronica320/QA-for-Event-Extraction") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d20dfb4dbf64df8e7217130e672a9fe41adeca5e60f912e19a748ea31380768e
- Size of remote file:
- 1.42 GB
- SHA256:
- c2ccabee8828c50b029cde1ac6387d9d210c53964195217e8800dfca91d79ffe
路
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