Instructions to use AnonymousCS/populism_classifier_153 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_153 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_153")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_153") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_153", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7f93d586f693db774c10e6c88974ef111f99c8af960ab6451521572d17a7031
- Size of remote file:
- 5.43 kB
- SHA256:
- db38268500b1a302e81eabcbdb55677231e01e98f58ff6b47bab73aea0406939
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