Instructions to use AnonymousCS/populism_classifier_bsample_296 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_296 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_296")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_296") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_296", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f451f4d7918488fe2261d64dec22704f756b1b9a8dafa28a1ba8c770736eff3d
- Size of remote file:
- 433 MB
- SHA256:
- c0134a20d44656e92a3912d5cb38c8808ed08eaa78274b897c3a2b7c28d51816
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