Instructions to use AnonymousCS/populism_classifier_bsample_355 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_355 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_355")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_355") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_355", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4bd356c0adb2cb1e6ecfa86cfe51355af100a580f95e748dac9fcd16e1e41c31
- Size of remote file:
- 5.43 kB
- SHA256:
- 8623e917c9bc825a7f885ddefd2b8647a31e1ddec02b24a5cf2024b6a3a336c5
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