Text Generation
PEFT
Safetensors
English
lora
qlora
sft
trl
text-to-sql
sql
conversational
Eval Results (legacy)
Instructions to use SASVAAI/GLM-4.7-Flash-sql-create-context with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SASVAAI/GLM-4.7-Flash-sql-create-context with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("zai-org/GLM-4.7-Flash") model = PeftModel.from_pretrained(base_model, "SASVAAI/GLM-4.7-Flash-sql-create-context") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 961c851c73a3e1f213cece750e312f56f35412b14dd461536a2b2b9abc19aa33
- Size of remote file:
- 20.2 MB
- SHA256:
- 19e773648cb4e65de8660ea6365e10acca112d42a854923df93db4a6f333a82d
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