Instructions to use AnonymousCS/populism_classifier_bsample_014 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_014 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_014")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_014") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_014", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8b2838d0c44fbeecfd24ff681a54cadca3712a5aa97d145f01382956c2d5d9a
- Size of remote file:
- 5.43 kB
- SHA256:
- 6be4d1c48109cf30466bb03a1ac2a890e298899694aa1d7b903431c10f6cdc8d
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