Instructions to use AnonymousCS/populism_classifier_bsample_412 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_412 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_412")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_412") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_412") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b64db08c9fe5b5be1610a1f319ff1991fdc912556b3dd8a74ec54016d3a038ba
- Size of remote file:
- 16.7 MB
- SHA256:
- 21f2ff9f5aee9a5c4d10d18795ba77a707bf0018e4023bb6b4e70355aa7d7522
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