Instructions to use AnonymousCS/populism_classifier_bsample_357 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_357 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_357")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_357") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_357", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 39fe9d1d2fda07fa7adea20d8ca4a7a5440432db02f70db10f4d4c5e3e5d9c9a
- Size of remote file:
- 438 MB
- SHA256:
- 3e71e6e6741412120bccd7a1a2a7a55317c057c1a9df3c5ba93308c8b99ffa77
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.