Instructions to use AnonymousCS/populism_classifier_bsample_381 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_381 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_381")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_381") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_381", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3426d26b943c6dbe72715678dd87f307425abb219f567c64ab9eba05740585f1
- Size of remote file:
- 5.43 kB
- SHA256:
- 676c544beff2773d436e30026ef0bc5757bd86a7fa2f48a734be50546575db82
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.