Instructions to use AnonymousCS/populism_classifier_bsample_385 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_385 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_385")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_385") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_385", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
0b1c0d9 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:473eaf6679428c0140fad4634bae51b8dae4940fb68c10c0823a451f0db813d5
size 5432
|