Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model339 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model339 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model339")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model339") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model339", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c309fa3c97965af5ff0c0f53d776cbbfff712f9785d98df7fa0004f67ccfaada
- Size of remote file:
- 5.3 kB
- SHA256:
- d7be102cfa56ffa15dec1741bc55d094def1663923290c184462e03c5773cd3a
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