Instructions to use AnonymousCS/populism_classifier_bsample_294 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_294 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_294")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_294") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_294", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dd5c2a79a475ee0e905c9560b6430765f550bf81f05f2d9091a43b3401c9778c
- Size of remote file:
- 433 MB
- SHA256:
- 69287a9ddb94819c2db48b8d02cab3655b321448729beb2b29352d60836ef7f0
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