Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model92 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model92 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model92")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model92") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model92", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9fe91b504e20d2147c1ae25ae6cf6fa6b87ec42d9cf2ff0c9a1f0c9f78fe570
- Size of remote file:
- 5.37 kB
- SHA256:
- cafd2d9a4cbc2a3eb3eef4241d150f8a4607ec7199f1b433f43faabf2a160b05
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