Instructions to use soham950/timelines_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use soham950/timelines_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="soham950/timelines_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("soham950/timelines_classifier") model = AutoModelForSequenceClassification.from_pretrained("soham950/timelines_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6289f3eeb3becbbe4263679cee41525b78cbf4d4c6fa96e016fec40350a660c8
- Size of remote file:
- 438 MB
- SHA256:
- 09066e297517b5c6e4d77314194e1ceaa6015014dc0674a4e8729d6670d74288
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