Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_057 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_057 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_057")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_057") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_057", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e2cd13f85b8be2dc188b5ab6a29e57581c4f07eeaf5089750ad9d9a9da4ad47
- Size of remote file:
- 5.78 kB
- SHA256:
- e12f8acd8e1e3446e5ca1075093a5bc632d2916fffb4bc86c8d481ea8d26939d
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