Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_227 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_227 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_227")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_227") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_227", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d29ce1141ed594360537c92b7089f9bf0174ae42e193008468878cb50d646756
- Size of remote file:
- 5.43 kB
- SHA256:
- 1ebdd1a13b487efbb5a20dd1675789c2866573849a1290f7922149fc27b3a269
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