Instructions to use AnonymousCS/populism_classifier_bsample_159 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_159 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_159")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_159") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_159", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 613724d94bc1f659ec776cd9404008f8b18ebb1e24f57ff906b675f43d680939
- Size of remote file:
- 669 MB
- SHA256:
- f4a6c371cd96cedfed92255a590b4cf1e5b00f63a2295b489f61c9c856792f18
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