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:
- 93f052a83b56df08f048ac2d8b362e9bedc98aa2a2e5e40175d1349478ddce41
- Size of remote file:
- 2.35 kB
- SHA256:
- 1f6de18e26b326990f7b617f3c80091d58180b9b75cbb248439386da593d4ed6
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