Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_076 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_076 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_076")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_076") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_076", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41a1a47477c29e4674beb4452b12b0b7b605e263b17799043e8ec72fff382e20
- Size of remote file:
- 5.78 kB
- SHA256:
- 2f6a4e34b5d34665abece41e90b0079da6f0b257a47cac91f0c85ec7a972c2ec
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