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:
# pip install -U transformers accelerate # 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
Commit History
-
Training in progress, step 449, checkpoint
Verified signature2a6b919 -
Training in progress, step 400, checkpoint
Verified signature583aa57 -
Training in progress, step 350, checkpoint
Verified signature30742a9 -
Training in progress, step 300, checkpoint
Verified signature69a0337 -
Training in progress, step 250, checkpoint
Verified signature9ac7e3c -
Training in progress, step 200, checkpoint
Verified signature4b7f0e0 -
Training in progress, step 150, checkpoint
Verified signature8278f68 -
Training in progress, step 100, checkpoint
Verified signature623de28 -
Training in progress, step 50, checkpoint
Verified signature27db80a -
Training in progress, step 100, checkpoint
Verified signaturef614523 -
Training in progress, step 50, checkpoint
Verified signature7f0e864