Instructions to use AnonymousCS/populism_classifier_bsample_023 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_023 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_023")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_023") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_023", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca85636c9e9fc8814c59418c6bdc67939c879db0e57b1189eac644ff20433fab
- Size of remote file:
- 711 MB
- SHA256:
- 4192cf54d31a1ff5caf4b736eeeb827310286a5eca3e7e48567581a9be527194
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