Instructions to use AnonymousCS/populism_classifier_166 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_166 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_166")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_166") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_166", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 589750c983f76bf72993ab50d4bd212ebe95197a6a0019696a72bd04012b9a7d
- Size of remote file:
- 5.43 kB
- SHA256:
- c467e0e2f906ae7f282beaba9f0d78362dc6077a97470086b549c1aba349ebad
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