Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model91 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model91 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model91")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model91") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model91", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dcafd88365ba087696a2a975c92e277bdae1d06a840e59c83df15c335bb85a3c
- Size of remote file:
- 5.37 kB
- SHA256:
- da8555de2650ab26d0b8f70b9013396ba4582cd9567d5ffd919a4e0aeef11f7a
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