Instructions to use AnonymousCS/populism_classifier_bsample_031 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_031 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_031")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_031") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_031", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a31e96bcacdaa0228201a55f69f5e5ca4ad08784c2ef326e29f0bfa89aa23c85
- Size of remote file:
- 5.43 kB
- SHA256:
- e48ea93b3368cbc2f208c282624b20665a151b99e5f62d5785bd70bb52f87749
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.