Instructions to use NairaRahim/fine_tuned_Gemma2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NairaRahim/fine_tuned_Gemma2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("NairaRahim/fine_tuned_Gemma2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Evaluation Scores
- SacreBLEU Score: 53.58593189242605
- TER Score: 32.91064291705729
- chrF++ Score: 70.32346005133222
- METEOR Score: 0.7145972318976378
- COMET Score: 0.7410532236099243
Uploaded model
- Developed by: NairaRahim
- License: apache-2.0
- Finetuned from model : unsloth/gemma-2-9b-bnb-4bit
This gemma2 model was trained 2x faster with Unsloth and Huggingface's TRL library.
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
