Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_094 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_094 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_094")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_094") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_094", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6cfa041b4f9fc94b280c90864bd6d6cefba477423374744b44b3c83db1be7b42
- Size of remote file:
- 1.11 GB
- SHA256:
- fa44671ce5bee2f00ac49fd05e9a7b348a208d9fea96816d137ebe51b0aba9f9
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