Instructions to use AnonymousCS/populism_classifier_401 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_401 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_401")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_401") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_401", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f4066906dcf8e07e770d18dad42e7c858f045d714d0bad1ffee925e16512d1c
- Size of remote file:
- 5.43 kB
- SHA256:
- 41ce1eb3c7142cfdd2d4f18bc77bd32695f407c66179a7ac79d91a8e94ef1f93
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