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 training_args.bin from shuvankar77/sqlcoder2.0: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/shuvankar77/sqlcoder2.0/resolve/main/training_args.bin
- Command line
-
hf download hf://shuvankar77/sqlcoder2.0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/shuvankar77/sqlcoder2.0/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- b2ba73e2127d59d56cd2b7b03b2bf1401e8c3519bc4d47731a0cd32c33d48f6f
- Size of remote file:
- 5.3 kB
- SHA256:
- 28d33e7e0baee268c637f990388f29a63b63c7a37f6731a8f0bd308b317652cd
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