Instructions to use AnonymousCS/populism_classifier_bsample_401 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_401 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_401")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_401") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_401", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08ab1b4d1b336db94e93f2c1a16e01225fe9479de6637a4dcd248d27708e2e8f
- Size of remote file:
- 2.3 GB
- SHA256:
- beb15419d7e54f67a8bc99144aa268575d596e324d5690dfcb01cae22b8933e8
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