Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_212 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_212 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_212")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_212") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_212", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5b0cb462440773ce72dce4aa24b916136f1ed061308bf28f503703129a6e9a5f
- Size of remote file:
- 2.24 GB
- SHA256:
- a540ba91d1f975d5165a63fa10bdd3b1c3bf4c0be86c17b879e8cee895be3150
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