Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_203 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_203 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_203")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_203") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_203", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73be04724d81fdf340357120138f23a308749da66df4322b402217d516a75eb4
- Size of remote file:
- 5.43 kB
- SHA256:
- b98bcbd3da873358d6fdcb3c858d7ad4b5a51eb7dc9ac29d0161502f36ed7359
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