Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_003 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_003 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_003")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_003") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_003", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dfdb6d326fcc02afce3ddbdf0a3fadc346d81adf8c6620b432d9aff630e23ee6
- Size of remote file:
- 5.78 kB
- SHA256:
- c182ff7e508098a190fc9daf61db1271fa13c783cf05a0077c7d6555f8caca93
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