Instructions to use AnonymousCS/populism_classifier_bsample_336 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_336 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_336")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_336") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_336", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 085fc6a6a7674b4d92b6c652990e44b981efddb7b965b2cf133f50596f1170df
- Size of remote file:
- 5.43 kB
- SHA256:
- 3d82aee944a29c5bb8b36d56c62fffc89b53d37feaf8ff374e3a0e2b7f8140ed
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