Instructions to use jonathanjordan21/bart-base-finetuned-knowSQL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use jonathanjordan21/bart-base-finetuned-knowSQL with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("bigscience/bloomz-560m") model = PeftModel.from_pretrained(base_model, "jonathanjordan21/bart-base-finetuned-knowSQL") - Notebooks
- Google Colab
- Kaggle
| { | |
| "auto_mapping": null, | |
| "base_model_name_or_path": "bigscience/bloomz-560m", | |
| "inference_mode": true, | |
| "num_attention_heads": 16, | |
| "num_layers": 24, | |
| "num_transformer_submodules": 1, | |
| "num_virtual_tokens": 8, | |
| "peft_type": "PROMPT_TUNING", | |
| "prompt_tuning_init": "TEXT", | |
| "prompt_tuning_init_text": "Create an SQL Query based on the following question and the table structure :", | |
| "revision": null, | |
| "task_type": "CAUSAL_LM", | |
| "token_dim": 1024, | |
| "tokenizer_name_or_path": "bigscience/bloomz-560m" | |
| } |