Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_083 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_083 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_083")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_083") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_083", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3bdb050913a0468af3613cd1656703d512c9f596b65c3adb1173199299ce9860
- Size of remote file:
- 1.11 GB
- SHA256:
- 2d52d65c99bc6069347ab7ec85c6ca14b489f4d974d9c0828ea4a6ab89dd0839
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