Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_242 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_242 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_242")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_242") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_242", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6ecd9cda62e297d5244adfde3ee6e00c95dea40c38dd7d464f96a31f1b81eb4
- Size of remote file:
- 499 MB
- SHA256:
- 5b3acaaac74a16e897deb5ee37cc7015f9663af2733387327ced83e502331b4f
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