Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use AnonymousCS/populism_classifier_032 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_032 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_032")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_032") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_032", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df756dbcfc9c37a959fad384785d24041267cf0c9cf9e88b35c7449a9f827b66
- Size of remote file:
- 5.78 kB
- SHA256:
- ac7560ca5fa2d9a0f2a0cdfd6b9fe4f3ba04e5c54134b36324426cc7a17c0db6
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