Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_012 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_012 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_012")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_012") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_012", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9b99eb1f8831e4ec6c6cf0e2b9092db5525df169a0292f352b782bdb5c09081
- Size of remote file:
- 5.78 kB
- SHA256:
- c20daaa41ec643c54b0f5c723b1976aa924c8a4d2c9b343a0a283991371dcf39
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