Instructions to use deep20998/sqlcoder-7b-2-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use deep20998/sqlcoder-7b-2-v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("defog/sqlcoder-7b-2") model = PeftModel.from_pretrained(base_model, "deep20998/sqlcoder-7b-2-v1") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-3/scaler.pt from deep20998/sqlcoder-7b-2-v1: direct link, hf CLI and curl.
- Browser
- Download file 988 Bytes
-
https://huggingface.co/deep20998/sqlcoder-7b-2-v1/resolve/main/checkpoint-3/scaler.pt
- Command line
-
hf download hf://deep20998/sqlcoder-7b-2-v1/checkpoint-3/scaler.pt
-
curl -L -o scaler.pt https://huggingface.co/deep20998/sqlcoder-7b-2-v1/resolve/main/checkpoint-3/scaler.pt
988 Bytes
- Xet hash:
- 9bc04ac8f7af7c237449071633fd6ebc16efdffb104e48a9119649185328853e
- Size of remote file:
- 988 Bytes
- SHA256:
- 576f0f1ad40e852de78574482ea579ed681bb7a2c54f46b16177154e5c66ec64
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