Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_078 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_078 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_078")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_078") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_078", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb4b41438d9d7fe4068c586a0eac6bc35fe19f44c4255504ea99372d04e01937
- Size of remote file:
- 5.78 kB
- SHA256:
- 5dfdf964f8c1101e95512280e545d4ffe41a1bd2db49ab0046e77c66a32f474e
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