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
# 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")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="kmeanskaran/gemma-code-instruct-finetune-test")