Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model183 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model183 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model183")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model183") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model183", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b49245e00998fc9e7b535e65232b24a64e559bc56239237e250de2d450585972
- Size of remote file:
- 5.37 kB
- SHA256:
- ae15e314ef1cfe335dc20b4024fe4df64715367eb388635fbda8ee418e12cab8
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