Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_081 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_081 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_081")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_081") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_081", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74e1cfd77a1a224f8c48451af7ca1c6d919a075ab4c3a479dc1dd0e1e43d6a5b
- Size of remote file:
- 5.43 kB
- SHA256:
- d77f70e333e6cc0eb3ed0f23625976be6c49ab2614a0cd35325c6ffe3f9aeee5
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