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Update README.md

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Added how to use model with pipelines

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@@ -97,3 +97,28 @@ Epoch Training Loss Validation Loss Accuracy F1 Precision Recall
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  - Transformers 4.17.0
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  - Pytorch 1.10.0+cu111
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  - Tokenizers 0.11.6
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - Transformers 4.17.0
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  - Pytorch 1.10.0+cu111
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  - Tokenizers 0.11.6
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+
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+ ## Model in Action
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+ Fast usage with pipelines:
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+
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+ ###libraries required
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+ !pip install transformers
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+ from transformers import pipeline
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+
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+ ### usage pipelines
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+ model_checkpoint = "hackathon-pln-es/twitter_sexismo-finetuned-exist2021-metwo"
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+ pipeline_nlp = pipeline("text-classification", model=model_checkpoint)
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+ pipeline_nlp("mujer al volante peligro!")
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+ #pipeline_nlp("¡me encanta el ipad!")
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+ #pipeline_nlp (["mujer al volante peligro!", "Los hombre tienen más manias que las mujeres", "me encanta el ipad!"] )
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+
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+ # OUTPUT MODEL
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+ # LABEL_0: "NON SEXISM", LABEL_1: "SEXISM" score: probability of accuracy per model
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+ # [{'label': 'LABEL_1', 'score': 0.9967633485794067}]
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+ # [{'label': 'LABEL_0', 'score': 0.9934417009353638}]
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+
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+ #[{‘label': 'LABEL_1', 'score': 0.9967633485794067},
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+ # {'label': 'LABEL_1', 'score': 0.9755664467811584},
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+ # {'label': 'LABEL_0', 'score': 0.9955045580863953}]