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  1. app.py +1 -0
app.py CHANGED
@@ -1,3 +1,4 @@
 
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  imagen = pipeline('image-classification',model='huggingface/microsoft/swin-tiny-patch4-window7-224')
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  trans = pipeline("automatic-speech-recognition",model="facebook/wav2vec2-large-xlsr-53-spanish")
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  clasificador = pipeline('text-classification',model="pysentimiento/robertuito-sentiment-analysis")
 
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+ from transformers import pipeline
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  imagen = pipeline('image-classification',model='huggingface/microsoft/swin-tiny-patch4-window7-224')
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  trans = pipeline("automatic-speech-recognition",model="facebook/wav2vec2-large-xlsr-53-spanish")
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  clasificador = pipeline('text-classification',model="pysentimiento/robertuito-sentiment-analysis")