Instructions to use AnonymousCS/populism_classifier_bsample_388 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_388 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_388")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_388") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_388", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 761291755890de770b42ca0f2c8ea5e63125b1dfa5095f09e6b6a802f2d237db
- Size of remote file:
- 5.43 kB
- SHA256:
- ef9b3be9914142652dca322ba432174398a358efc31e3c237c8ea82bc42a1a14
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.