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:
- df0d9d8819a2c5e31e93d59f633c9cce840d9ecacf686102d963115b30cad116
- Size of remote file:
- 5.46 kB
- SHA256:
- 8fdd298136b5acc4bef795799210e604aa84d0125f1677e077f193ac16a0cfc7
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