Text Classification
Transformers
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_084 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_084 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_084")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_084") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_084", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 259703c847ffc243d08935d84afd65f1599b82ffa48cb0b4c37deb77323a8a97
- Size of remote file:
- 5.78 kB
- SHA256:
- 348db588ca664c2611a901c9e34f698af801b2ea677ea1cc3cd3e7e36cfc326d
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