Instructions to use AnonymousCS/populism_classifier_bsample_012 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_012 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_012")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_012") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_012", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c6cb40843142a1bb18f03b575e0ece511dbff1de0ac6a1ad70bb646bc69b65b
- Size of remote file:
- 711 MB
- SHA256:
- 1786414fa77f9a7a517cc91b077476278cba18e7379c5a9aff2f551f736b7623
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