Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_027 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_027 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_027")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_027") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_027", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ea16fb95ebc3181bed81e1eb8619731f48a32e2454a1a9034f38f260bbb8d1a
- Size of remote file:
- 5.78 kB
- SHA256:
- 1c53b9b46244ed92f5a2c4487c9e1eddbbb41bdec9e83a244b0fb9be99bea4ad
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