Instructions to use carlofisicaro/codegemma-7b-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use carlofisicaro/codegemma-7b-text-to-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/codegemma-7b") model = PeftModel.from_pretrained(base_model, "carlofisicaro/codegemma-7b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from carlofisicaro/codegemma-7b-text-to-sql: direct link, hf CLI and curl.
- Browser
- Download file 17.5 MB
-
https://huggingface.co/carlofisicaro/codegemma-7b-text-to-sql/resolve/main/tokenizer.json
- Command line
-
hf download hf://carlofisicaro/codegemma-7b-text-to-sql/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/carlofisicaro/codegemma-7b-text-to-sql/resolve/main/tokenizer.json
17.5 MB
- Xet hash:
- c47b001ce82806a7f75363c3eab2f77b3108ab6f5872b06cfd67269552a8724f
- Size of remote file:
- 17.5 MB
- SHA256:
- fc4a6a466c9d9a2fe8af6b01b19a5a93ec84432eb0a53202b5cb7dc29ed3e4a1
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