Instructions to use AnonymousCS/populism_classifier_bsample_413 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_413 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_413")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_413") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_413", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b827d72c76b45fe87a1556b214dc6162d36d6d1cf153bf1c1c8961ca6e208f16
- Size of remote file:
- 5.43 kB
- SHA256:
- 343badc56cf0b29854bbfd95ba946fa577a57fdc3c663f38cce432883d2962ee
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.