Instructions to use AnonymousCS/populism_classifier_388 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_388 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_388")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_388") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_388", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a6cd7832386f6774d849cfa5cd7a4e9bff16245c57b746eeaa4e682c45b3a7f5
- Size of remote file:
- 5.43 kB
- SHA256:
- 5f2b41e9b511db6ec8db90bdc531493df7323ce16638c1d2f267c3ed59f0c4f6
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