Instructions to use AnonymousCS/populism_classifier_bsample_298 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_298 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_298")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_298") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_298", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b622e09d302a528516276abf4c8a1b09ef97c2b41528652d49bc8f370cb1efa8
- Size of remote file:
- 433 MB
- SHA256:
- 21c17e97c4415808b58f2997b09c2276d6856dbc4a67f0ac9b6848a6a2e2e569
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