Instructions to use AnonymousCS/populism_classifier_bsample_316 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_316 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_316")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_316") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_316", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b691f37ef05f20a2fa02acfd8f8499f5932b94ecd72fb9c56c2ad3d327b40bad
- Size of remote file:
- 1.33 GB
- SHA256:
- ce12f07f25cffbf440b9164089fc16b6b770d4c4c27a3899e24339f8d8edf02f
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