Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model147 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model147 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model147")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model147") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model147", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dbf1bef4a58af1e5c50b8fd81fa7140acac112fae3f24916748d90a259aaa552
- Size of remote file:
- 5.37 kB
- SHA256:
- 9c99339777e6b24aeba4f93b0390551451782f38e1ff28eac98740df875fc6d8
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