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
- Xet hash:
- d8320a315b0c9009b2d96729aa8aa88c6c5c2822ad76dc1507bb1b35de56e344
- Size of remote file:
- 1.25 kB
- SHA256:
- b8bcad8956f24111cd71e10ab2f5f92d651397915f208212dd90bfd19a0cdaf2
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