Instructions to use krotima1/AlignScoreCS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krotima1/AlignScoreCS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="krotima1/AlignScoreCS")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("krotima1/AlignScoreCS") model = AutoModelForSequenceClassification.from_pretrained("krotima1/AlignScoreCS") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 37031f2a6d323a5b43ee35c4647cff8472cf377175bf2abd00d5d403c83f1392
- Size of remote file:
- 2.24 GB
- SHA256:
- 7a8d6714246048caad07f668d0f9b20d94694e2280e39b46cc2f6a8293f54698
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