Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_model237 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model237 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model237")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model237") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model237", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97698812b226cf50af8b7f6784c960e0f5e780a060cd5c66b65d5fbb45d5ffae
- Size of remote file:
- 5.37 kB
- SHA256:
- 88cccf1d29ede9d643484bbf7b5221e0dbbf5ee0cad9d5c4fff2ba2f08174d5e
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