Instructions to use AnonymousCS/populism_model015 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/populism_model015 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/populism_model015")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/populism_model015") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/populism_model015", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5d5f58b321b83967f396f729f7a99cc46d209a3e3efc19780beda9041bb4262
- Size of remote file:
- 5.3 kB
- SHA256:
- eceae82a741643ca44ef8eb0ed5801506bfa4f7d5722bbe55c9cfc861a9d6021
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