Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_073 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_073 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_073")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_073") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_073", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bd12bbdb4eb2955cf9d0807cce32e2cc1012b70a4f9f5163ce41e5a60aa38a9e
- Size of remote file:
- 5.78 kB
- SHA256:
- 720fa9e50c189111912f46f4e246741ea2c7cde6f5b1c13336d244d3b9da545b
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