Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_245 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_245 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_245")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_245") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_245", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b410c9895a08c68a5e0d8e8774f08896cfd8f060b4b3f150928d2e1c8f0f89ac
- Size of remote file:
- 5.43 kB
- SHA256:
- 3f65c17502fa637a943909a806066f12c46ae635028b45ab1bd938f543963206
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