Instructions to use AnonymousCS/populism_classifier_bsample_142 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_142 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_142")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_142") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_142", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ffae8db4f33482da6f75214feb091160d399e985fc81b3512f2b116bc93dc52
- Size of remote file:
- 5.43 kB
- SHA256:
- ff2e5da376b5ad8b470e88c4cc916216ede08f1fb0ff62916588952b164b2c99
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.