Instructions to use AnonymousCS/populism_classifier_bsample_345 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_345 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_345")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_345") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_345", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ef8783fc5bec3aed4960e12434176572b21974d7e8c65138a5e0eb93b34ffe18
- Size of remote file:
- 438 MB
- SHA256:
- 326dcf3232d72c1248dfe8e308972725721b147b48487d24f72eb2ab0f4445ef
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