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
File size: 134 Bytes
65691ba | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:09066e297517b5c6e4d77314194e1ceaa6015014dc0674a4e8729d6670d74288
size 438027529
|