| --- |
| library_name: transformers |
| license: mit |
| language: |
| - en |
| widget: |
| - text: "Give me code to reverse a string in python" |
| - text: "How do I find today's date in python?" |
| --- |
| |
| # code-gemma |
|
|
| Google's `gemma-2b-it` trained `code_instructions_122k_alpaca_style` dataset |
|
|
| # Usage |
|
|
| ```py |
| # Use a pipeline as a high-level helper |
| from transformers import pipeline |
| |
| pipe = pipeline("text-generation", model="gnumanth/code-gemma") |
| ``` |
|
|
|
|
| ```py |
| # Load model directly |
| from transformers import AutoTokenizer, AutoModelForCausalLM |
| |
| tokenizer = AutoTokenizer.from_pretrained("gnumanth/code-gemma") |
| model = AutoModelForCausalLM.from_pretrained("gnumanth/code-gemma") |
| ``` |
|
|
| [Hemanth HM](https://h3manth.com) |
