Instructions to use AnonymousCS/populism_classifier_bsample_377 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_377 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_377")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_377") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_377", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
5858ca1 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d3f5e412f4a8f60b16fb9fbfd8a7a1b07c9b58a664ded7eeae4f72a34b665aec
size 5432
|