Instructions to use AnonymousCS/populism_classifier_bsample_021 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_021 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_021")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_021") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_021", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc359590f45468b78c9b3d194574a5fba49a409c1dbb89a3da2ea203db36e282
- Size of remote file:
- 5.43 kB
- SHA256:
- bccda3d9a774da12fc0a7c7c8c3a69ecaba4973e40852afe68a1922554f44613
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.