Instructions to use AnonymousCS/populism_classifier_407 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_407 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_407")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_407") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_407", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d44388d543a3abafbb0f7c9460438498499eac431addaae50186b0a48f83b91a
- Size of remote file:
- 5.43 kB
- SHA256:
- 1dfb08ccf799dfb72e71f24d386968aa3cd33ef5510bef3b02f7cd39731b6a82
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