Instructions to use AnonymousCS/populism_classifier_bsample_156 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_156 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_156")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_156") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_156", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc872b3f331d30cef893d2fa686799f0b17117af40d5632d41b9ad6425df8e90
- Size of remote file:
- 711 MB
- SHA256:
- c790686f5a5e363c440b1aeb0ca74a80d7491290d23c5ab71bf951df20adf03f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.