Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_239 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_239 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_239")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_239") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_239") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0963791052a431eeea5937618696d4ec23e64e3733101281d63f3932082515d2
- Size of remote file:
- 499 MB
- SHA256:
- b1b6b7d2924178324cce42317ad1a60979962a6bad5ed032b4acdbf0ae37ee0a
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