Instructions to use sc2qa/msmarco_qa_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sc2qa/msmarco_qa_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sc2qa/msmarco_qa_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sc2qa/msmarco_qa_classifier") model = AutoModelForSequenceClassification.from_pretrained("sc2qa/msmarco_qa_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 926d97fa75487f7d3b4a03d1f3da5499d55bfb512852586c496a0439dd0b1f07
- Size of remote file:
- 2.29 kB
- SHA256:
- a3a8272ddb783ba53f59cd8b37ec313c86f17364074e3f6a80a4f253d967b2b9
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