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
File size: 129 Bytes
5445f24 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:dec0449b0b7ba190d45da7ae31da68dcaae4a2d22e226c9559aea4b829e3a89f
size 5432
|