Instructions to use AnonymousCS/populism_classifier_bsample_341 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_341 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_341")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_341") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_341", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec717197592ed20221ce964f43a4dca33f5d3dc391112a5ad309b0b11ed94d6f
- Size of remote file:
- 438 MB
- SHA256:
- f319074e089fa2c01c3f879fdf9f9137620d3044e9f3c5e6166b6e9db12cd969
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