Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_030 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_030 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_030")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_030") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_030", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 210150ae00f90ea0ba87ef88a8eed1442511c4c33bc3293ece7ce4c7a973bfcb
- Size of remote file:
- 669 MB
- SHA256:
- f006b55706dfd9947b72738c38b287d6a81d2c99657ac9c8d0ee2f68ba1cda7e
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