Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_010 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_010 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_010")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_010") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_010", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf71b26c1c46239e5ed5ad323c9dde869e52ada670ea36f589027539bbe3cf41
- Size of remote file:
- 5.78 kB
- SHA256:
- 669b84525b587b93fff4198570ff3634fc299a4ab541d1a767bafe714713a7c3
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