Instructions to use kangnichaluo/cb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kangnichaluo/cb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kangnichaluo/cb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kangnichaluo/cb") model = AutoModelForSequenceClassification.from_pretrained("kangnichaluo/cb") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
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- model.safetensors +3 -0
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oid sha256:b1cfd00b093ab3d19ce526389f0090dc0f884fe482c1b41a12056c767d628475
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size 437958648
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