Instructions to use AnonymousCS/populism_classifier_bsample_410 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_410 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_410")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_410") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_410", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8a56e7ccd9a83141d1c67645efa8ab148dd5f553121fab8304595877844a8bad
- Size of remote file:
- 2.3 GB
- SHA256:
- 8e2dacbb948b9ee1c22931bbcf752da5e02e107c9607f4bf82587292f110f640
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