Instructions to use AnonymousCS/populism_classifier_337 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_337 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_337")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_337") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_337", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b02e9acdab8b8d2a6ab56380e1aa0835e97d06e1d399140dccb79deb6fb84a32
- Size of remote file:
- 5.43 kB
- SHA256:
- 4a22ce43417dc1aa2a0d2356146e5d3afdd2a9f6e4b08f282bc376dd8929c8fc
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