Instructions to use AnonymousCS/populism_classifier_bsample_334 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_334 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_334")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_334") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_334", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 25e1ac5ff9bac5f50ef7340969679cd9191e8ac7a4fed85f5682ea836138895c
- Size of remote file:
- 1.33 GB
- SHA256:
- 7dab9c807d1a4e96ec81cb15068ebfcdb20cb6f943df135e8989c0a8bbe4d616
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