Instructions to use AnonymousCS/populism_classifier_bsample_315 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_315 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_315")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_315") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_315", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11e6c0c772aff458f8518c71beab65e2e39c3d0c2ed8da900eaeacb2f398d7f0
- Size of remote file:
- 5.43 kB
- SHA256:
- dec0449b0b7ba190d45da7ae31da68dcaae4a2d22e226c9559aea4b829e3a89f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.