Instructions to use bebechien/code-gemma-2-2b-text-to-sql with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bebechien/code-gemma-2-2b-text-to-sql with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-2-2b") model = PeftModel.from_pretrained(base_model, "bebechien/code-gemma-2-2b-text-to-sql") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from bebechien/code-gemma-2-2b-text-to-sql: direct link, hf CLI and curl.
- Browser
- Download file 17.5 MB
-
https://huggingface.co/bebechien/code-gemma-2-2b-text-to-sql/resolve/main/tokenizer.json
- Command line
-
hf download hf://bebechien/code-gemma-2-2b-text-to-sql/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/bebechien/code-gemma-2-2b-text-to-sql/resolve/main/tokenizer.json
17.5 MB
- Xet hash:
- a66728755d5908bb9a026e909962c0c19274cdcb71506f296b5eaac87f21dd1f
- Size of remote file:
- 17.5 MB
- SHA256:
- 5b115126f34134bc5c805eb056724a150a88a08857d9799c532d2d3ca5c8cdb5
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