Instructions to use AnonymousCS/populism_classifier_413 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_413 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_413")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_413") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_413", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4cdbde4e4f725f71668de908e6babc817f5b4d5b64383f1c415145117d173cfc
- Size of remote file:
- 5.43 kB
- SHA256:
- a5e3774cf2ece399ac7088ab7454aca72f4e064cf1edf80ab3df4e42f58405b5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.