Instructions to use AnonymousCS/populism_classifier_334 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_334 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_334")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_334") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_334", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4792de4c0bce96e2953c8ce260d2e9500ad78a15d83331d6b47493de0358ece6
- Size of remote file:
- 5.43 kB
- SHA256:
- 6b6dbb501e13489523ceced5925b3662dfa367e7480b14d1668617f4d79583c6
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