Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_196 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_196 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_196")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_196") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_196", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c2a1c7ff0d956804c7950fee779b6bd273ba94c19448364eb950889f1335f27
- Size of remote file:
- 1.11 GB
- SHA256:
- ef3265318d6fc5f499182150ada44426c3a5cbffd554df60ce0ee4ec4c3b92a1
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