Instructions to use AnonymousCS/populism_classifier_bsample_361 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_361 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_361")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_361") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_361", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 790e921debf33ad8b47c6fd3daa761b1952655b7e08d5213d1aeee62a4b37433
- Size of remote file:
- 5.43 kB
- SHA256:
- 8924b0debbf1e22e1eb004a58134f04e71158624f28094029f83fda4789778a1
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