Instructions to use AnonymousCS/populism_classifier_bsample_003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_003 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_003")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_003") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_003", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4955b54275cd75a0fd647d79577bd8825649e0fb7fcd8633fe48300fac89e7fd
- Size of remote file:
- 5.43 kB
- SHA256:
- 87be24baba1e550a2a64dae1265ad2cac5c19a4a6e5ed249ea3caffabcdb25b0
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