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transcript-stances is an encoder model specialized for the classification of French news transcripts. The model is based on debertav3 and has been trained on 116,000 examples of annotated transcripts.

Given a text, transcript-text-analysis will generate the following classifications in French:

Positive stance
Neutral stance
Negative stance
Sarcasm index

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Model size

279M params

Tensor type

F32

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Text Classification

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