Instructions to use shuvankar77/sqlcoder-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shuvankar77/sqlcoder-3 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/sqlcoder-3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56aed136c5d63c1c2c0d227676078a2d4717187306b6ef1edc65fe625332982c
- Size of remote file:
- 134 MB
- SHA256:
- db771a8d4d3a8fd4d4a28b9a882f67eadd1c4b812db82d23dfb494d5a25fa798
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