Instructions to use alistvt/fudnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alistvt/fudnet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alistvt/fudnet")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alistvt/fudnet") model = AutoModelForSequenceClassification.from_pretrained("alistvt/fudnet") - Notebooks
- Google Colab
- Kaggle
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README.md
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## Model description
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## Intended uses & limitations
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## Model description
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FUDNet is for Follow-Up Detector Net.
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This model takes two consequtive questions of a multidoc2dial question answering conversation and determines whether those two questions are from the same documents or not.
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## Intended uses & limitations
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