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:
- bdf8bcb7bd0d60c1f8399cd716909a9fdc72038c0061774161d55e2ae33c090f
- Size of remote file:
- 5.43 kB
- SHA256:
- 95dba05ef5d309f61dd182baabd6871f77b51d098b64bac1c02b600e5d4e839b
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