Instructions to use shuvankar77/sqlcoder2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shuvankar77/sqlcoder2.0 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, "shuvankar77/sqlcoder2.0") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from shuvankar77/sqlcoder2.0: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/shuvankar77/sqlcoder2.0/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://shuvankar77/sqlcoder2.0/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/shuvankar77/sqlcoder2.0/resolve/main/adapter_model.safetensors
16.8 MB
- Xet hash:
- cae270a785a044a3aeb1b5b787b20bb1c1e6184e84feb1208c3a0362c66d93c2
- Size of remote file:
- 16.8 MB
- SHA256:
- 3ae0be2334083831da890c180d4824fe7eea12297c14c9d1df465b1cb76fba2e
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