Instructions to use AnonymousCS/populism_classifier_bsample_319 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_319 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_319")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_319") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_319", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6562b1919b49eba5807a44df95051e592f79905e02185dc857e11a71e6677599
- Size of remote file:
- 1.33 GB
- SHA256:
- c69079f45c69564aea0011c3ae25ae5b7ef71fb0146c3e61408dde913555bdf2
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