Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_185 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_185 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_185")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_185") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_185", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4d73b1a0a1df85fecd0d702ab988c96d2437c6aca940bbbd9252cfccac52bc2
- Size of remote file:
- 1.11 GB
- SHA256:
- 1c60371f64273a7cec4084b8359a1ad396cb43fba6fddd5f27f04bfc6b222cda
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