Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_197 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_197 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_197", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_197") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_197", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 441eb5ff49d88e8437bcbd20a509ef4c572528d039c5847b6e10d5d69b2b5e9d
- Size of remote file:
- 1.11 GB
- SHA256:
- 9a6377150531f3f912fd4147946303d1f80b264ba0f6883fc213c04cfcd4c77f
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