Instructions to use icfrowne/classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use icfrowne/classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="icfrowne/classification")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("icfrowne/classification") model = AutoModelForSequenceClassification.from_pretrained("icfrowne/classification") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
ce4efb6 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:27652095ebb7f4cd5c8badb47cb711d39639bbbe2e57b32d3fb98e83e5b35662
size 802182716
|