Instructions to use AnonymousCS/populism_classifier_bsample_288 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_288 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_288")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_288") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_288", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
c8668f4 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:65e44c4a73a26c87bb6e563be6b140e705515005735b67ba9ab5253d36bd1560
size 5432
|