Instructions to use AnonymousCS/populism_classifier_bsample_011 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_011 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_011")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_011") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_011", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 15087dd3a1fad4b4aa3485924788a5b6d5dfe689f49fed2efd9f0e967ba95dbe
- Size of remote file:
- 5.43 kB
- SHA256:
- 95f0f74e88b4ea2a76f30ffa62057eb1d8956f7460371dabda360f510aa0568b
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