Instructions to use torphix/code-llama-7b-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use torphix/code-llama-7b-text-to-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("stabilityai/stablelm-2-zephyr-1_6b") model = PeftModel.from_pretrained(base_model, "torphix/code-llama-7b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
| { | |
| "added_tokens_decoder": {}, | |
| "auto_map": { | |
| "AutoTokenizer": [ | |
| "stabilityai/stablelm-2-zephyr-1_6b--tokenization_arcade100k.Arcade100kTokenizer", | |
| null | |
| ] | |
| }, | |
| "bos_token": "<|endoftext|>", | |
| "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}", | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<|endoftext|>", | |
| "errors": "replace", | |
| "model_max_length": 2048, | |
| "pad_token": "<|endoftext|>", | |
| "tokenizer_class": "Arcade100kTokenizer" | |
| } | |