Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_205 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_205 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_205")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_205") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_205", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 777e0d36b4c1f3172d5bc8110936ccd3087bbbd974ae5b935e9eaeb257828f41
- Size of remote file:
- 5.43 kB
- SHA256:
- 79d687123cd0c748ed5dece2de2a2e554ac63acdea110e5c2b43f631d7c0d188
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