Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_198 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_198 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_198")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_198") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_198", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f93c5715154f530855c3e522650d42886836cc751d12c3f8c18b74439968dcf
- Size of remote file:
- 5.43 kB
- SHA256:
- 81c804aaf2dc8f24bfe2d1616e4b5b45d8543cf135696d98c470538cfdab6b73
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