Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_214 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_214 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_214")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_214") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_214", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4f778f971e801d25b96efb80c0faf15313606dcc6a7bfe8b41d813896061ac0
- Size of remote file:
- 5.43 kB
- SHA256:
- 17c16d88c6b930569f78b6e085832a4dfee720e61e4f8220ab38240e262e69a2
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