Instructions to use AnonymousCS/populism_classifier_bsample_348 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_348 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_348")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_348") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_348", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 42e9aaf49679233ce8bb60fcb3c82b23bd1c39fcb205b2002980c954c55f1471
- Size of remote file:
- 438 MB
- SHA256:
- c88e549b90283642d43eecde26dae5113bae8b6d914a877661480de07a01cba3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.