Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_183 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_183 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_183")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_183") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_183", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f386e8a1acb01b14422d70d5ffed85eedeb93f88819fc55a905967c016f1a67
- Size of remote file:
- 5.43 kB
- SHA256:
- 667e07facbb65b7e9114c8cb2f51a72fe0138190f846c4546caffb4209384f51
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