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
Commit ·
e661186
1
Parent(s): 2f5b347
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (54f356d0891f12fa8c2f3a2a5b83a9c92bb199b7)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c881507b7937cbb76d4e903f291d91e707f03ecf787dc31efcc47c77b62683e6
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size 267832560
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