Instructions to use AnonymousCS/populism_classifier_bsample_345 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_345 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_345")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_345") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_345", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 090b271222b2092a1d6198efa88fad3a3a765237ce48824c013f5594097f5cea
- Size of remote file:
- 5.43 kB
- SHA256:
- e2f3c9c19b1a59bcf42b8caefd54cb80beca4925415a0434996c6be52083fe47
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