Instructions to use AnonymousCS/populism_classifier_bsample_358 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_358 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_358")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_358") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_358", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f3fcdbfb1cae969e315d8b79444d9825e857f9547da394393bfd6a9c1b373ef8
- Size of remote file:
- 5.43 kB
- SHA256:
- ebd09ba7c163ca0ab88b04b74352b486d0b87dc3f5a11b31764cea83478f6c4a
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