Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model170 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model170 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model170")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model170") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model170", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 58eff1e9bf32513592c11ab7c0212939add5fcba87b58a0cea1afaa1b96a18f6
- Size of remote file:
- 5.37 kB
- SHA256:
- 9bedd5bcf6197b31e0340a8b5a19511ac05aaf4ebf590f23caa9db1da535bdb9
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