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
File size: 325 Bytes
4b269de | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"bos_token": {
"content": "<|begin_of_text|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"eos_token": {
"content": "<|eot_id|>",
"lstrip": false,
"normalized": false,
"rstrip": false,
"single_word": false
},
"pad_token": "<|eot_id|>"
}
|