Instructions to use AnonymousCS/populism_classifier_bsample_009 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_009 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_009")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_009") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_009", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9a363aba197c422b2018508d789b5419cae00455c978aec8a391332fdac2e66b
- Size of remote file:
- 711 MB
- SHA256:
- e8e6c5cdfd2b560e3241d102362f56fa01bd67cf902e760309c94982b1995678
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