Instructions to use AnonymousCS/populism_classifier_bsample_171 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_171 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_171")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_171") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_171", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 895afa8c69b8128ecd44fcc0bf0d815067dd35c6eac1e2f2ef426b777696ae6c
- Size of remote file:
- 669 MB
- SHA256:
- 20f3ab7846c2f7e0899e797b282bb7819a28f81354274dd19380a8a2a059d6d2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.