Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_130 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_130 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_130")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_130") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_130", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11a79dd44662fa2609747d77f2edcadfca427a4a8c51f4adb14811bf25227e67
- Size of remote file:
- 5.78 kB
- SHA256:
- be28eb610334ff3a6b49dea938562e0986e442f1f374e31692e495b40ebff20e
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