Instructions to use codegenstudio/codegen-350M-sql2nosql-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use codegenstudio/codegen-350M-sql2nosql-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/kaggle/working/models/base/Salesforce__codegen-350M-multi") model = PeftModel.from_pretrained(base_model, "codegenstudio/codegen-350M-sql2nosql-lora") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from codegenstudio/codegen-350M-sql2nosql-lora: direct link, hf CLI and curl.
- Browser
- Download file 42 MB
-
https://huggingface.co/codegenstudio/codegen-350M-sql2nosql-lora/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://codegenstudio/codegen-350M-sql2nosql-lora/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/codegenstudio/codegen-350M-sql2nosql-lora/resolve/main/adapter_model.safetensors
42 MB
- Xet hash:
- 29b2b8a571c40d885cf1f5db118f9ee7b463e7292bdcdaaf268b48933d3a8645
- Size of remote file:
- 42 MB
- SHA256:
- d86d2e16c20d51d0831bcd0922ad392d93ebf6eaf67a8d77a04d23a511f9f4ee
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