Instructions to use AnonymousCS/populism_classifier_bsample_376 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_376 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_376")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_376") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_376", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6537a936a1b9c416f75eeba70593846ecc423dda45cb325bced9d8838ca76637
- Size of remote file:
- 1.34 GB
- SHA256:
- ed1be6a22461511610e2fe76cf49af5f755cb46b0be71caa1ec1d95547b61349
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