Instructions to use datumo/CAC-CoT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use datumo/CAC-CoT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="datumo/CAC-CoT")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("datumo/CAC-CoT") model = AutoModel.from_pretrained("datumo/CAC-CoT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13d825fd644a58fb7d0e00b64d3417b2e677be90d0506052ad70964ffe68a8f4
- Size of remote file:
- 3.66 GB
- SHA256:
- 9af184c7331ec541e40f162555d2d1cedd8bf9a273864edea25c9da5ba7e9232
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