Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_116 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_116 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_116")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_116") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_116", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27cf3b2774696628f802bff62a4c200bab16c23c8ae9fcbdcf0156338dbd4a49
- Size of remote file:
- 5.43 kB
- SHA256:
- fec78ab5344ca82d80132d7c9184a9e35cb506ebab52c8e7faec965494fad4dd
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