Instructions to use AnonymousCS/populism_classifier_bsample_362 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_362 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_362")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_362") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_362") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f0d30795353bcc8e324709cde7898f0455b15bc1742922b03aeac2cde632adbf
- Size of remote file:
- 438 MB
- SHA256:
- f85ca76bb2e5d91a2d80f5bb27202d27c864799a289a82e701a7ac8969f83b64
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.