Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model162 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model162 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model162")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model162") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model162", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a22e3b02365e65866650b8e781ed30e04a0fde6c5abd5376135175af73da8dd2
- Size of remote file:
- 5.37 kB
- SHA256:
- bc557cb5fd641d41d7b18c412c3f91b15643a2bde8ebbe7aebe718b6bb877597
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