Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_119 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_119 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_119")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_119") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_119", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37c7e1978a7d33755bc770c3440eed25161ff12a4d1f0220f9c64de99750efbb
- Size of remote file:
- 2.24 GB
- SHA256:
- d2a4fda4d61a8275622cf4c18d0937f459fa13a9660666cc246adf7d3aa4a6d2
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