Text Generation
PEFT
Safetensors
English
text-to-sql
sql
tally
accounting
erp
llama-3
sqlcoder
postgresql
finance
conversational
Instructions to use jaykv/tally-sqlcoder-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jaykv/tally-sqlcoder-finetuned with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("defog/llama-3-sqlcoder-8b") model = PeftModel.from_pretrained(base_model, "jaykv/tally-sqlcoder-finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1c286b341f58baecea176a424520147ae0e6795bd71845c3e19ec810dace839
- Size of remote file:
- 168 MB
- SHA256:
- 5240f34dfec12d304986d1abbc921df550e7b841549d7490799e28c3eeaa3245
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