Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_258 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_258 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_258")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_258") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_258", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb66e2a2463e039b860c35f256501252c978c44b3394cc142405c38017af778c
- Size of remote file:
- 5.43 kB
- SHA256:
- 93e79e4af8120fe0272dd2e1ab1148250e2a17bd10f06ba940f64909035aeb3a
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