metadata
library_name: transformers
license: mit
language:
- en
widget:
- text: Reverse a string in python
code-gemma
Google's gemma-2b-it trained code_instructions_122k_alpaca_style dataset
Usage
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-generation", model="gnumanth/code-gemma")
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("gnumanth/code-gemma")
model = AutoModelForCausalLM.from_pretrained("gnumanth/code-gemma")