Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_090 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_090 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_090")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_090") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_090", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5da2767f287691ce43e3354249d97a93b18ff7582e1b4653e00f985869cc7421
- Size of remote file:
- 5.43 kB
- SHA256:
- 79f6da7686e93b6c3385f31601d1e1443c0061fa35cb298e4c9abfd491fc07c8
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