Instructions to use leetdavid/importance_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leetdavid/importance_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="leetdavid/importance_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("leetdavid/importance_model") model = AutoModelForSequenceClassification.from_pretrained("leetdavid/importance_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33790cda8aa90757e5ee81b4469c9afc7f493a24f8cca1e80228b48b080d32df
- Size of remote file:
- 409 MB
- SHA256:
- 9405e885fb3df96fc290b94acbdae472dff57c4a4cd233e3228dbd748d67e82f
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