Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_079 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_079 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_079")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_079") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_079") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d179e87795fd1729b5770e6b12e7212790e887f21868ffae996fa9f8d8fd5fe
- Size of remote file:
- 1.11 GB
- SHA256:
- 592633bc7f9528444cdcdff0aa17eb9c0fc6f232bbbcefa3ceefe0f8542373bb
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