Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_200 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_200 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_200")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_200") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_200", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e029f6661e273f74dd1afcba4594331203e72a11a72d8ca5f0b1865305d17235
- Size of remote file:
- 5.43 kB
- SHA256:
- b86fe8dfc1985f9608e8ecd4cff2abf37072820a63907c42dba92948f409a15b
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