Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_031 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_031 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_031")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_031") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_031", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2af9443e65feed1b75668f8d8ba142d9ad1fff42bb40966238ba51315be7ec4d
- Size of remote file:
- 5.78 kB
- SHA256:
- edcba265d1109d8642264c2234362816784c7a104fcf085ca109c57ddc2b2ff6
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