Instructions to use AnonymousCS/populism_classifier_362 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_362 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_362")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_362") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_362", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aabb5b57b6836f5a3516e7862d8c5a6a239f420b8a578bfe813087674021c75a
- Size of remote file:
- 5.43 kB
- SHA256:
- 06ab3a182d9af6be0a4e3d1a98344bf1fc5709d633ba3780e25be6efd516c46b
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