Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_117 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_117 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_117")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_117") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_117", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ed93fa38f6d8427ac0ce94b119bde97460d48ef0fd0831f67994ea7b2e7f27f2
- Size of remote file:
- 5.43 kB
- SHA256:
- cd73901b5ff1fb217c8af875f0a6e3a9e9a59ea81152ddf4b1865ecf25b9e6e9
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