Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_247 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_247 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_247")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_247") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_247", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5853f5d9f34f40ab188a2e1878148f277e32e637348ba9885ba891dde4e683b7
- Size of remote file:
- 499 MB
- SHA256:
- 4b2b2fe50f83ff643b9d9ec56d6c6556d18249496c96b5ce036039fdaf0bdd86
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