Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_015 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_015 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_015")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_015") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_015", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b60ae54eeb76a404e182ae5fa3f5404c0ec3e754edf2ad4e1ca518778b2efcb
- Size of remote file:
- 5.78 kB
- SHA256:
- aa94a2af248c53a79f0a7e9b8e947f0197d130e65f42cacb77ad4c4d5b0402db
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