Instructions to use AnonymousCS/populism_classifier_313 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_313 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_313")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_313") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_313", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a61620e677c0f2c926c35c1277e67c8cad0d46a66bd4d6498359be865e36be29
- Size of remote file:
- 5.43 kB
- SHA256:
- 18a7acdcd812823184e760e1399dd7b54a419a6c35cbb77a3acb9484c1c911cb
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