Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_230 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_230 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_230")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_230") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_230", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa6afb1fe831086f75e9159c995942c1c56b8d8f2d97d0da4a1ec5a2054aa2b3
- Size of remote file:
- 5.43 kB
- SHA256:
- c1599c7f42781b38dac53fbb7f61fb467eaf9a94c8b091bd0fd0b79e230436ea
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