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INTERNSHIP EVALUATION FORM PHI?U NH?N XT H?C VIN TH?C T?P (Please stick (x) in to the appropriate box /Xin ?nh d?u cho (x) vo thch h?p) Student\'s name/H? v tn h?c vin: ????????????????????.. Unit/
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Manueltonneaubert-base-cased-conversational-nli is a natural language inference model that has been pre-trained on conversational data to understand and predict relationships between textual statements.
It is typically required to be filed by developers, researchers, or institutions that utilize the model for specific applications, especially in research or academic settings.
To fill out the model, users must input pairs of sentences and receive outputs indicating the level of entailment, contradiction, or neutrality between the pairs.
The purpose of the model is to enable machines to understand and reason about text in a conversational context, improving the accuracy of responses in natural language tasks.
Users must report the input text pairs, the model's predictions, and any relevant metrics that assess the performance of the inference results.
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