Instructions to use spencerh/centerpartisan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use spencerh/centerpartisan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="spencerh/centerpartisan")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("spencerh/centerpartisan") model = AutoModelForSequenceClassification.from_pretrained("spencerh/centerpartisan") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00210d1422236b15fe4e93e3e5c19d83e0469a968cfe6b7c27cab711e73b9b10
- Size of remote file:
- 268 MB
- SHA256:
- bfb4f392eaebba89a082318d9828b383c4243db6965d65e9f53b3853ce468dd3
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