Instructions to use AnonymousCS/populism_classifier_bsample_373 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_373 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_373")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_373") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_373", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
77c0ea0 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c2402787af43f73d8fe3fc5951d0a389d50395b3c3497c887f1d1b3477cd4880
size 5432
|