Instructions to use mateoguaman/vamos_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mateoguaman/vamos_lora with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("mateoguaman/vamos_lora") model = AutoModelForImageTextToText.from_pretrained("mateoguaman/vamos_lora") - Notebooks
- Google Colab
- Kaggle
| Gemma is provided under and subject to the Gemma Terms of Use found at https://ai.google.dev/gemma/terms | |
| This model, mateoguaman/vamos, is a finetuned derivative of google/paligemma2-3b-pt-224. | |
| Modifications and additional training have been performed by Mateo Guaman Castro and collaborators at the University of Washington. | |
| The base model is subject to the Gemma Terms of Use (https://ai.google.dev/gemma/terms). | |
| The finetuned model incorporates datasets with a CC BY-NC license; therefore, this model | |
| and its outputs are provided for non-commercial use only. |