Instructions to use AnonymousCS/populism_classifier_bsample_376 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_376 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_376")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_376") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_376", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 700b85c401c7351ef4c9e540cd30803d4822db6f313aee62c3eb770d18f3627d
- Size of remote file:
- 5.43 kB
- SHA256:
- a474a0c791f8fe1a7ca06d9b7af7aed6674fbbc7289c86cf228ffa3953f7d954
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