Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model148 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model148 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model148")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model148") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model148") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c50c7dcd7c625cc47f84fa0868dafa1619e92e163b32b6f01830b39e82098f64
- Size of remote file:
- 5.37 kB
- SHA256:
- 56369c3fd5b073bf04c9a30bb03609aa781d32c4f0a3d14c74c80c79aaef7b31
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