Instructions to use AnonymousCS/populism_classifier_bsample_045 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_045 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_045")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_045") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_045", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ef41d2d338900a6d9e3a6bd439cf0425b44eeacbf70fc0bf4e2b79676bd4c46
- Size of remote file:
- 5.43 kB
- SHA256:
- d96e61aedee2f1f78bbfa7d1e54a324c3f1e0ecfa2be32c4ee135ba52f50b409
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