Instructions to use Ching/negation_detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ching/negation_detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Ching/negation_detector")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Ching/negation_detector") model = AutoModelForQuestionAnswering.from_pretrained("Ching/negation_detector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f7e60691191252314d033880ec6846fc64db64eaf9549d20832c2e98f342103e
- Size of remote file:
- 623 Bytes
- SHA256:
- d156b72cd60004ef440a876477aa872ad2db804cd53917f06d82aebe1bd3b2d6
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