Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_252 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_252 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_252")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_252") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_252", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f015952b1a49ba4f4701c7251ed2a8b563c1d344c2fa4b90793b5a0ccab6951e
- Size of remote file:
- 5.43 kB
- SHA256:
- f733896cdec836cf56867cf51af109f5b579216a339da9646482378cf1f1f88a
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