Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_129 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_129 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_129")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_129") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_129", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e965df0d3658c06a1737fa609a8d7cb225e5d43fa98fa3376657631d9931eeb
- Size of remote file:
- 2.24 GB
- SHA256:
- ce881aa5d66796eb0f16c86b92488d9ad0fe0a0b441c07e0677de169a28a2874
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