Instructions to use AnonymousCS/populism_classifier_302 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_302 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_302")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_302") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_302", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 075ac370f6788f2b6cf55a5ea07bcbffd0aa6822078326e0b2ef905839100617
- Size of remote file:
- 5.43 kB
- SHA256:
- 70b99d5dd95d0af55089ce6ad7a54641c45504bbaa4b3188a99b444dbe7150e1
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