Instructions to use AnonymousCS/populism_classifier_bsample_387 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_387 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_387")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_387") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_387", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69c25ebf4780e09f56cbf9a4c5ac66f4830ee0c6819700fe808df84ea352795c
- Size of remote file:
- 5.43 kB
- SHA256:
- d87fb07515825b1997258790cb512f37faba40483ace8671ae4085fce4fc7d9f
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