Instructions to use darrel999/SQL_baichuan2_7b_chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use darrel999/SQL_baichuan2_7b_chat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="darrel999/SQL_baichuan2_7b_chat", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("darrel999/SQL_baichuan2_7b_chat", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d0a52e22fa54f1130bf11aa385646e91939425105241cd71bad8997f16c09e4
- Size of remote file:
- 2 MB
- SHA256:
- 79452955be6b419a65984273a9f08af86042e1c2a75ee3ba989cbf620a133cc2
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