Instructions to use AnonymousCS/populism_classifier_bsample_377 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_377 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_377")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_377") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_377", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 86e1f82e46cf3af849982e59caf885402edd1ca150d319bbea03e4d7182fdcc1
- Size of remote file:
- 1.34 GB
- SHA256:
- 05eeb57d65d0d18eb29b24e5871b35d245e812b6e9392871b73255153ea4a79c
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