Instructions to use AnonymousCS/populism_classifier_bsample_411 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_411 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_411")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_411") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_411") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13c4264b414f1d17db3b65ab47bff77212a713f80bfafd526236f8a3b27ccf9c
- Size of remote file:
- 5.43 kB
- SHA256:
- 9ac126fea996e56843670be5a2a63ed1d53ae04f1d2d88b64b7c209f4b710e26
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.