Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_228 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_228 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_228")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_228") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_228", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5f679c63e84cb7a599b7f02bec59e68b659e12689d2e163ba5baa900ec54a9b
- Size of remote file:
- 5.43 kB
- SHA256:
- 31f67fc2ad51264e7d3ef066240c0365fd2610644940e5ebdea44c9f2185d015
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