Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_049 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_049 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_049")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_049") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_049", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5947c24e2c56aee771955420e7c72f3d5bcb139621566577f291fd03fb81a1ca
- Size of remote file:
- 669 MB
- SHA256:
- 86cb2f3580999896d61794202c9932227f4d06509d08ccd19f36ee1c2869a2dd
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