Instructions to use AnonymousCS/populism_classifier_bsample_308 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_308 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_308")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_308") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_308", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3f1003bb0e29f600164ab9b23a8ebb326069d9caa1c5b575c7fe4552e0770d5
- Size of remote file:
- 5.43 kB
- SHA256:
- e9f0e46d8318e20edeaa81a700c991275201ecf565f3f2d0f6b2d810a5fcc101
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