Instructions to use AnonymousCS/populism_classifier_301 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_301 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_301")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_301") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_301", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 14f70b34d4f52e052c510a43815a152baffcbf9957cb3c18050d7afd36f4a07f
- Size of remote file:
- 5.43 kB
- SHA256:
- 930cd315bc16b9b11cfd00e6f4ede801fe87fafa7b03595ce68ddb8ed9035f41
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