Instructions to use Mavlon001/stylee-llava with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Mavlon001/stylee-llava with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("llava-hf/llava-1.5-7b-hf") model = PeftModel.from_pretrained(base_model, "Mavlon001/stylee-llava") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from Mavlon001/stylee-llava: direct link, hf CLI and curl.
- Browser
- Download file 137 Bytes
-
https://huggingface.co/Mavlon001/stylee-llava/resolve/main/processor_config.json
- Command line
-
hf download hf://Mavlon001/stylee-llava/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/Mavlon001/stylee-llava/resolve/main/processor_config.json
137 Bytes
| { | |
| "image_token": "<image>", | |
| "patch_size": 14, | |
| "processor_class": "LlavaProcessor", | |
| "vision_feature_select_strategy": "default" | |
| } | |