Instructions to use Ashima/gemma-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ashima/gemma-text-to-sql with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ashima/gemma-text-to-sql", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| {{ bos_token }}{% if messages[0]['role'] == 'system' %}{{ raise_exception('System role not supported') }}{% endif %}{% for message in messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if (message['role'] == 'assistant') %}{% set role = 'model' %}{% else %}{% set role = message['role'] %}{% endif %}{{ '<start_of_turn>' + role + ' | |
| ' + message['content'] | trim + '<end_of_turn> | |
| ' }}{% endfor %}{% if add_generation_prompt %}{{'<start_of_turn>model | |
| '}}{% endif %} |