Instructions to use AnonymousCS/populism_classifier_bsample_292 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_292 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_292")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_292") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_292", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d614e124e0d1828ec53d4144f99aa6db871470aac04e56d0615b6d4ba3a11909
- Size of remote file:
- 433 MB
- SHA256:
- 5cd224acca53f2fc68dd7e2898d2ce8052ce2097fa31893af2a7e88751b92dca
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.