Instructions to use kmeanskaran/gemma-code-instruct-finetune-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kmeanskaran/gemma-code-instruct-finetune-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="kmeanskaran/gemma-code-instruct-finetune-test")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("kmeanskaran/gemma-code-instruct-finetune-test") model = AutoModelForCausalLM.from_pretrained("kmeanskaran/gemma-code-instruct-finetune-test") - Notebooks
- Google Colab
- Kaggle
| library_name: transformers | |
| license: mit | |
| pipeline_tag: question-answering | |
| # Model Card for Model ID | |
| <!-- Provide a quick summary of what the model is/does. --> | |
| Model is trained on Gemma-2B model for assiting in programming. | |