Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_059 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_059 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_059")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_059") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_059", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa55975087b68e60d7e3c24a00c48076b6bfa0cfbec8c6318c577fafb63ee544
- Size of remote file:
- 5.78 kB
- SHA256:
- 4e4e2f5282c92e1e5c95ee7c38162d6f03f299e0c82240b1a4fdd039ca18d0ff
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