Instructions to use notaphoenix/shakespeare_classifier_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use notaphoenix/shakespeare_classifier_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="notaphoenix/shakespeare_classifier_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("notaphoenix/shakespeare_classifier_model") model = AutoModelForSequenceClassification.from_pretrained("notaphoenix/shakespeare_classifier_model") - Notebooks
- Google Colab
- Kaggle
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# Description ℹ
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With this model, you can classify if an English sentence has a *Shakespearean* style or a *modern* style
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The model is a fine-tuned checkpoint of [
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# Application 🚀
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# Shakespeare/Modern English DistilBert-base
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# Description ℹ
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With this model, you can classify if an English sentence has a *Shakespearean* style or a *modern* style
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The model is a fine-tuned checkpoint of [DistilBERT-base-uncased](https://huggingface.co/distilbert-base-uncased).
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# Application 🚀
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