Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_024 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_024")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_024") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_024", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad6bbe604b8bb1ddcb38cfc85f5655e2f60eee434e45eb65f09a24a24fa5b9b3
- Size of remote file:
- 5.78 kB
- SHA256:
- 5e679ecc7d1ed295d9ce5d46720c2a1920c75ba5d703dbcd4544ff2175c09dc3
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