Instructions to use AnonymousCS/populism_classifier_bsample_344 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_344 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_344")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_344") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_344", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1cd356374e1fd4efefea74d6956ced611fbb5b7da8e66051090a27138ccd9ed4
- Size of remote file:
- 5.43 kB
- SHA256:
- 3336cc3357e84b451941468f72cab1b55f177bfb24f70ba91989e585742f4d91
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