Instructions to use AnonymousCS/populism_classifier_bsample_141 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_141 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_141")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_141") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_141", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e0f99f5d4c6cc78923d6f2002f4fc009225c0d53d849130343fc5988294946be
- Size of remote file:
- 5.43 kB
- SHA256:
- dc044c65823f181c0f3c6ac7e17b21045f429fbfb9860e40f4031e9358484355
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.