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Shakespeare/Modern English DistilBert-base

Description β„Ή

With this model, you can classify if an English sentence has a Shakespearean style or a modern style

The model is a fine-tuned checkpoint of DistilBERT-base-uncased.

Application πŸš€

Return all labels

from transformers import pipeline
classifier = pipeline("text-classification", model="notaphoenix/shakespeare_classifier_model", top_k=None)
classifier("This is a modern sentence!")
[[
{'label': 'modern', 'score': 0.901931643486023},
{'label': 'shakespearean', 'score': 0.09806833416223526}
]]

Return top label

from transformers import pipeline
classifier = pipeline("text-classification", model="notaphoenix/shakespeare_classifier_model")
classifier("This is a modern sentence!")
[
{'label': 'modern', 'score': 0.901931643486023}
]
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Model size
67M params
Tensor type
F32
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Dataset used to train notaphoenix/shakespeare_classifier_model