Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_106 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_106 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_106")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_106") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_106", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a833b58211cc665fefe56bba705a308e1eaa0efd25b745acec581302061dd10
- Size of remote file:
- 2.24 GB
- SHA256:
- 67e86b01c3f4f471f4cb76513e567bc934466374dd98c426ae67fbbe520f67bb
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