Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_082 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_082 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_082")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_082") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_082", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 104d983a8b54d5c1ab164da7179e24504bb34641d4df78af99c4406f422fcf5d
- Size of remote file:
- 5.43 kB
- SHA256:
- 1a66a83c2253940b9ef380d31cb2ca13cef7050ddb6e4373b147ed3c25a414b4
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