Instructions to use dvs/poetry-author with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dvs/poetry-author with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dvs/poetry-author")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dvs/poetry-author") model = AutoModelForSequenceClassification.from_pretrained("dvs/poetry-author") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63f5de0578b06a7c13b2ab606fbe1566c9e05c0ed44551fa7ed38a7d8a5346d4
- Size of remote file:
- 4.73 kB
- SHA256:
- 4a7aa91fa3ee77dd4d5f9cf1d4bb0ec55e638647ed77253c23243da70eb96610
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