Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_089 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_089 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_089")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_089") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_089", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3cf031d3ead897e8e86d29ac9fb6a34d131e6acb27b6988f0b857edcfe3039e
- Size of remote file:
- 5.43 kB
- SHA256:
- e8bad3d10243c5ab911b00ef51671deb2da420927453295e0341a34e332d0e3d
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