Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_072 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_072 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_072")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_072") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_072", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9874034e99c05060b69d2ed0dceaf70c866f95d32d83686f8df4d234578ab0f2
- Size of remote file:
- 5.78 kB
- SHA256:
- b1efb69f8615cbd4c8b779dfea6c405e368e760555612ced1a6ab181ce20fac8
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