Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_215 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_215 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_215")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_215") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_215", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99d0c7a9ea1c5467f24960ae03802aef5ec852f6c1cacd1286f21b8c3ed0349d
- Size of remote file:
- 5.43 kB
- SHA256:
- e35cb50f7981dbecf9ee20b3773d484b87f136efeaccc0b2a60e96be7878512a
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