Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_070 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_070 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_070")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_070") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_070", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 215d8323242b1d3e80cb9fd757cef85c98c1d42abfedd11c85022a784f0c54dd
- Size of remote file:
- 5.78 kB
- SHA256:
- b979e550a0ed4aea61cc67860d1e653aa99821de45d5cd0fa87d9bd2fd17eaa5
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