Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_112 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_112 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_112")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_112") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_112", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b02ad41bffe8a7843d618e55d449f5d886b053f44341e94c34a06362391ea077
- Size of remote file:
- 5.78 kB
- SHA256:
- ccbf8cd9b0b54990cf506173fe202c8f26eead6d5c92e1f1b4d4fc02e58d56d2
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