Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_112 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_112 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_112")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_112") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_112", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2776c10c8e6baa67022c28274c2a3e43618e05f32ba197dd188527d3100511b3
- Size of remote file:
- 2.24 GB
- SHA256:
- 6d9f39c9494d5f7f0d593b1427af47965ad07927ba4d5194d9cc3c2720b17c35
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