Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_216 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_216 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_216")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_216") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_216", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b378f659c1441589044bc3d1f4e62a95efffab1420a6112dea28e94f9b29aed
- Size of remote file:
- 5.43 kB
- SHA256:
- 1c412cb90398180d73dbb89e0c5d1ea7b54c9657833ec0931250f267a8422adc
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