Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_092 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_092 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_092")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_092") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_092", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33e00cfed363eb50ec8bb582c3ca0921ec9dfc3fe1bf6f0e505ebff93fb84b7c
- Size of remote file:
- 5.43 kB
- SHA256:
- be2094731eea3d00da9512afc191795406f72a619c64a11e609b42c01a80b8af
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