Instructions to use AnonymousCS/populism_classifier_336 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_336 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_336")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_336") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_336", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be9fa4ecb7f57646400058321496fdfdfbbc3f6b19773a375d66650cf46c9523
- Size of remote file:
- 5.43 kB
- SHA256:
- 8491406316687bcc51fcf3e49cdd3b261321af3861c9d9925489b6378975801f
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