Instructions to use devanasokan/bert-lyrics-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devanasokan/bert-lyrics-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="devanasokan/bert-lyrics-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("devanasokan/bert-lyrics-classifier") model = AutoModelForSequenceClassification.from_pretrained("devanasokan/bert-lyrics-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 408ee68d49cf91c4a95b5b7eae1e8ddf5f44c6e1c2446a6ad9665357be1d1c7d
- Size of remote file:
- 5.2 kB
- SHA256:
- 605d5ce0201d239f9efc25cacf1315c3610470a33c35f9a1c9d91dc4d88df3ba
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