Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_097 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_097 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_097")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_097") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_097", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9d17a09659006c3cef969a856e2f0509e18fe101c37ab05940b1f48d7bbf35fc
- Size of remote file:
- 1.11 GB
- SHA256:
- bef12d60ac86c6dd193d755a76f00dd525b2db749109105b86ac7f3b4319a378
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