Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_090 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_090 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_090")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_090") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_090", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0dc8d0af1873d14013b584e3d8f80c24f21924eed9c514fccc126b211e205414
- Size of remote file:
- 1.11 GB
- SHA256:
- fce001483c075a9f1c8e8c81c94524ed1c7b8edb3cdd753507ed9213f4859791
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