Instructions to use MLLM-CL/MRLoRA_Router with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MLLM-CL/MRLoRA_Router with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="MLLM-CL/MRLoRA_Router")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MLLM-CL/MRLoRA_Router", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
1098599 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:7382476512015510b6017ae9f7aba2e72cc98c85ed6a0f2c95f6d7d46c865e2e
size 1650835
|