Text Classification
Transformers
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_092 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_092 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_092")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_092") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_092") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e92ee56fe771dd4ff7efd960ee358ca18b2a98034e5e92250e389caef259143b
- Size of remote file:
- 1.11 GB
- SHA256:
- 9a1ba634cecb7e28caab1a4df503f22209cd73f9ff72d0687cc880451d634039
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