Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_049 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_049 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_049")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_049") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_049", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 237d6a1ffe64c5cb780e9ec8080eae9c7ef1a0307099c97816c214e3bb00da4a
- Size of remote file:
- 5.78 kB
- SHA256:
- 3392fb22a48bb979bdbdf3150fe443822c9a3966dc28e51e10d0703b655322e3
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