| | --- |
| | 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) |
