Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_050 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_050 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_050")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_050") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_050", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0d51f5fe1e9a50f2776312e80e617fdd7ee0701806f9890cb6d039818cbcdcd5
- Size of remote file:
- 5.78 kB
- SHA256:
- eddc60d1ecbadcd164bb060de1f13af42891963165da53a805ff26204bff7c07
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