Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_094 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_094 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_094")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_094") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_094", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2e357ee8d5861633b83b60563c1ce11231ba9909217e6726910389ce031e49d7
- Size of remote file:
- 5.43 kB
- SHA256:
- 9da7a98d2d3a15705ed2de01409016e1d3e2f0f396ebe183d227553189951784
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