Instructions to use AnonymousCS/populism_classifier_bsample_372 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_372 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_372")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_372") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_372", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc91628f58d48713b99636ed36a18e032e388d1ec4dfef88d965d57aeb1ffbed
- Size of remote file:
- 1.34 GB
- SHA256:
- 6619a17366aa44fb4edd2b1d019989acb23da20dc0aa33ddd464b02a959c272f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.