Instructions to use AnonymousCS/populism_classifier_bsample_354 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_354 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_354")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_354") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_354", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2b8ba18504aadb63e62346d149b29c55dfa1ee211364b640855f47b12ca34177
- Size of remote file:
- 5.43 kB
- SHA256:
- dcace72059181b21400a2d749a60fa2ee945b3d9a3bd264c1d938757c857348c
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