Instructions to use AnonymousCS/populism_classifier_bsample_382 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_382 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_382")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_382") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_382", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f2be1a04fe58f7c1ac38dada534a12985c4e32496ae505eb02919a687c046d2
- Size of remote file:
- 5.43 kB
- SHA256:
- 9aa51ee7721c74c402437230016d3524d6ec227924038f67af0a93fb4b49ae43
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.