Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_013 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_013 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_013")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_013") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_013", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c2b32af0e24220943fc3ddf6aaee7d1d97a861cbf8a1019d4e7f9047e1408055
- Size of remote file:
- 5.78 kB
- SHA256:
- 51edc22ed267cecc4a3c3662230803045ed021dfc000390840b8fd3ed24e9925
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