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, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("mateoguaman/vamos_lora") model = AutoModelForMultimodalLM.from_pretrained("mateoguaman/vamos_lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc3b329557ce1b3788bc71e4ab99ce4d3a23125966def0a6b3629e5daa283dd5
- Size of remote file:
- 5.88 kB
- SHA256:
- aad656740548acb2cf8355c0bb58f2d3acfb74bed369d470a571070c08698a6c
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