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:
- 676364e29991f2f0f69d9977340b1102fbe87bc853e24564ba6f7423ae2477bf
- Size of remote file:
- 2.24 GB
- SHA256:
- 86c909ff9aac2ef9d07e48fee0e20e4a0231e7abcb46a7a4e8d041863a2cdc54
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