# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("Pclanglais/transcript-stances")
model = AutoModelForSequenceClassification.from_pretrained("Pclanglais/transcript-stances")Quick Links
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Check out the documentation for more information.
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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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Pclanglais/transcript-stances")