Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_108 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_108 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_108")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_108") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_108", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f418aacf05916f7d464e0e9b265fd11af650a9ad5a52fb7a6dcc1cc5ae28687c
- Size of remote file:
- 2.24 GB
- SHA256:
- a8328b390e825bdbaa2a4190c8a1c8efe873df045ec31710e7e0e3679cbe6f72
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