Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model149 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model149 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model149")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model149") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model149", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e4f7ab44c7b3c312840ee7e433309a515f1e108b280dbb84572a59e52114d6a4
- Size of remote file:
- 5.37 kB
- SHA256:
- e9d3859013ba4789c28eabef6aaa4ee2d44aaae20913cd94ec37a7a917f2641b
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