Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_062 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_062 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_062")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_062") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_062", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f2f5c89a63bdfb93f157bd71036e5fdc090185524e0f2c49b895d1e3ec4e9966
- Size of remote file:
- 5.78 kB
- SHA256:
- fef453b0feede39f015bdd3db923aae6de1946d46967e676dfc182d47d42eae4
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