Instructions to use ai2sql/ai2sql_mistral_7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ai2sql/ai2sql_mistral_7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "ai2sql/ai2sql_mistral_7b") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from ai2sql/ai2sql_mistral_7b: direct link, hf CLI and curl.
- Browser
- Download file 83.9 MB
-
https://huggingface.co/ai2sql/ai2sql_mistral_7b/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://ai2sql/ai2sql_mistral_7b/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/ai2sql/ai2sql_mistral_7b/resolve/main/adapter_model.safetensors
83.9 MB
- Xet hash:
- d8414b290d195b280268b27abccbcc55a8279a0986767b5b8da237ff33e361ce
- Size of remote file:
- 83.9 MB
- SHA256:
- 7d7c6ff99100c5f021d79899e8bebb3eb08d0b5b2c0036ddb24059556bee885f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.