Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_039 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_039 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_039")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_039") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_039", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 890af23c08f15fcb4229431166cbbc50c4a862488b9787def5af01399e5956c9
- Size of remote file:
- 669 MB
- SHA256:
- 64870acc41043f204a3413e47692bab81a9d89e7f617c9ee76b179c3a5a5af59
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