Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_089 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_089 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_089")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_089") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_089", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38f5227a7ec9835db3f0082f4a9224e97e4dca29186f51da44098063a4531778
- Size of remote file:
- 1.11 GB
- SHA256:
- a25d5bef1dd79a419bf1c1d1830e914a942e5db78e352ed4d2340a390a2684f9
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