Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_121 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_121 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_121")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_121") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_121", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b4e0951df33f69b0cbdee6b484ce71eb7965417f25a04b721b943d704e70cf84
- Size of remote file:
- 5.43 kB
- SHA256:
- 1fd8be101877dd0245a84929aebe30719fe192702ec2f5f33999f60f0071eeb7
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