Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model136 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model136 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model136")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model136") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model136", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d33589a5522e79131ebe304a7959c898147e1ae2e18def2a3c5780647db2f5c
- Size of remote file:
- 5.37 kB
- SHA256:
- 00071f7091b790c992c38f19b1b2fbe403223000dd023dd9a4b290b4889ee1b6
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