Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_214 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_214 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_214")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_214") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_214", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9eeac2e1f3bb5beea91a84f816c066eded746bd40336e4b3f8e2754d5d60d817
- Size of remote file:
- 2.24 GB
- SHA256:
- 83662a87ab814f94b72f3dc96c7b67de866c4e146b42efc9f6f6ed6412eacd4e
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