Instructions to use AnonymousCS/populism_classifier_bsample_306 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_306 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_306")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_306") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_306", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f0437b345f0f32ff6080167d0f98e0977ef1ea4281a09e8c92e3ce5a0d38d48d
- Size of remote file:
- 5.43 kB
- SHA256:
- acaca42ed1a110da740c89983c4ca4a3790388a783bd7cadfe9859a687c22726
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