Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_199 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_199 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_199")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_199") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_199", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d0a52320e9333f1b0b50d47f503c73af33fa159de22073b11da82079133a2123
- Size of remote file:
- 1.11 GB
- SHA256:
- 874b41ed889d9f69add121097ca75d688fac3004046ac168a0f3aeb8721721fe
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