Instructions to use AnonymousCS/populism_classifier_138 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_138 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_138")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_138") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_138", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d851221f90a4d3b70cf5af1854dcb1d07cd0854d852c028abcabe83649bd77f
- Size of remote file:
- 5.43 kB
- SHA256:
- ff3ae6786eb91730171a64e28f2d7b1064154018a3524dc33f00220001a13c58
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