Instructions to use AnonymousCS/populism_classifier_bsample_180 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_180 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_180")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_180") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_180", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ab7b38e645f34e22dd02661e37443ae4fc91a3b9b4de8ff22233cb44aca4612
- Size of remote file:
- 5.43 kB
- SHA256:
- b7d907c1f77f691e1de9a3132bed8724ad2d280b945c2fc2863fe2144612d61a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.