Instructions to use AnonymousCS/populism_classifier_bsample_134 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_134 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_134")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_134") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_134", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25172e93b1e4b767bba60e3eabafc70bd686cc741cb8f5714d60ebc620ae0d31
- Size of remote file:
- 711 MB
- SHA256:
- 34ce55024386802b9943f55e25e0abf4f643b4a68c0fd468698cc7973a2f42f6
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