Instructions to use AnonymousCS/populism_classifier_bsample_292 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_292 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_292")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_292") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_292", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
4c7fc04 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:6c4891e43258e56b31c03914abe72fa372b80436a5323c8eef46e51ed8a61658
size 5432
|