Instructions to use AnonymousCS/populism_classifier_bsample_042 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_042 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_042")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_042") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_042", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 466aaa0e7db1c3ccf103b1b7e3a622b32635611bc42fa09e298f333762e14a6b
- Size of remote file:
- 5.43 kB
- SHA256:
- 3499c29bd66d46f0ec10f50a79a41fbd96c678843e22a477092dc855f93c1f9f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.