Instructions to use AnonymousCS/populism_classifier_bsample_335 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_335 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_335")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_335") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_335", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3edb713bda714743e4401ad47741ad7e569ede7816b62338ceba75ef5bcbcc2
- Size of remote file:
- 1.33 GB
- SHA256:
- 81af866cf251e05a0efd7725a460888044b6dc05d84646c042645e43ec49b357
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