Instructions to use AnonymousCS/populism_classifier_bsample_165 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_165 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_165")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_165") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_165", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 487a4aedfd74d42a7f1475614f6876b8c076553595aee2c2d20c699f2f4d10ec
- Size of remote file:
- 5.43 kB
- SHA256:
- 627a1f8d23d49f50dea14f8b3907daaf39bc751035e95b22e351e6da63976db8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.