Instructions to use AnonymousCS/populism_classifier_308 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_308 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_308")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_308") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_308", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb3b2d4763fc1654f63c3bc250f20e2d91663add4f45d5a707b9826627e98601
- Size of remote file:
- 5.43 kB
- SHA256:
- 5d6f6d464eb2b02945d425cd3173fc9cea042a14ac04d0dcdc0d71e3c0525bcd
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