Instructions to use AnonymousCS/populism_classifier_bsample_344 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_344 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_344")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_344") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_344", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2cb34ee0d26510d0e4f70b90706509022199f493e4810cacb6abd85f7216fe4e
- Size of remote file:
- 438 MB
- SHA256:
- aced9035350d9f52dcbac2fdf13f221796be5bf711c54b58d0e3403a70d854cb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.