Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_184 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_184 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_184")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_184") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_184", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6716efc0bb1663c24c5b1d595a3eea62b5297421dfafde8d853eefb6da2a29a
- Size of remote file:
- 1.11 GB
- SHA256:
- 37a6c8fef71bdda065cbc50b8905ce35abca83f051404188e39d591102854f90
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