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:
- d892572ba884c31203d788fa6f00d1c367e3d76db546f42f5c627c14dc7c7e0c
- Size of remote file:
- 438 MB
- SHA256:
- 30b63fac82024dacf06b9e7d0e62e86fb59b9782881df1105fc0bd2c707b858c
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