Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_bsample_238 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_238 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_238")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_238") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_238", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0b8619a58094a365f25da3dd9462b60b578422051bedd9eb49f65f16a2d82a78
- Size of remote file:
- 5.43 kB
- SHA256:
- 61f231a2920645b5d135a277494945ea01be34963badfe5efe2e29d74576671b
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