Instructions to use m-a-p/MIO-7B-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use m-a-p/MIO-7B-Base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("m-a-p/MIO-7B-Base", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| { | |
| "additional_special_tokens": [ | |
| "[SPCH]", | |
| "</spch>", | |
| "[IMG]", | |
| "<spch>", | |
| "</image>", | |
| "<image>" | |
| ], | |
| "bos_token": "<|startoftext|>", | |
| "eos_token": "<|endoftext|>", | |
| "pad_token": "<unk>", | |
| "unk_token": "<unk>" | |
| } | |