Instructions to use AnonymousCS/populism_classifier_bsample_302 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_classifier_bsample_302 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_classifier_bsample_302")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_classifier_bsample_302") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_classifier_bsample_302", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3fe02254bd0605516e3edede093ec8d3360e003b3de3c85104bc7c691936feec
- Size of remote file:
- 5.43 kB
- SHA256:
- ae2d183afff4a3a8dddb541dc1b8cf871587ffcd989675a8b196d897ab82963d
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