Instructions to use VQA-DeepLearning/gemma_2_lora_E2b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use VQA-DeepLearning/gemma_2_lora_E2b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("VQA-DeepLearning/gemma_2_lora_E2b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Ctrl+K
- checkpoint-100
- checkpoint-150
- checkpoint-200
- checkpoint-250
- checkpoint-300
- checkpoint-350
- checkpoint-400
- checkpoint-450
- checkpoint-50
- checkpoint-500
- checkpoint-550
- checkpoint-600
- checkpoint-650
- checkpoint-700
- checkpoint-750
- checkpoint-800
- checkpoint-850
- checkpoint-898
- eval
- last-checkpoint
- 1.57 kB
- 1.71 kB
- 1.62 kB
- 120 MB xet
- 16.8 kB
- 32.2 MB xet
- 6.86 kB
- 5.91 kB xet