Instructions to use AnonymousCS/populism_classifier_bsample_016 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_016 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_016")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_016") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_016", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
055d821 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:4f6571af51539b1d7d9e68050fcea74e6efb7dc5e241d7b77169d3ea058b0374
size 5432
|