Instructions to use AnonymousCS/populism_classifier_bsample_360 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_360 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_360")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_360") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_360", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- adf291d12263298c8182bcbbaee9af392707d3f89112df5b16b0d24c868d7f91
- Size of remote file:
- 5.43 kB
- SHA256:
- ba6fe29baea7258ac4b32f2f7dfe119ce75d76767692a502110ce4c999ff95b0
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