Instructions to use AnonymousCS/populism_classifier_309 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_309 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_309")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_309") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_309", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9061933dbbb0e9653ff37a5932acfe8dc88c49ef3db7b40da91247d18f7619c9
- Size of remote file:
- 5.43 kB
- SHA256:
- d784405c7237ceddc65a571e4ab2ed3ebfdd7e784fcfa1709ee41845bc474b1c
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