Instructions to use ramankamran/llava-bacteria with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ramankamran/llava-bacteria 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, "ramankamran/llava-bacteria") - Notebooks
- Google Colab
- Kaggle
Download processor_config.json from ramankamran/llava-bacteria: direct link, hf CLI and curl.
- Browser
- Download file 173 Bytes
-
https://huggingface.co/ramankamran/llava-bacteria/resolve/main/processor_config.json
- Command line
-
hf download hf://ramankamran/llava-bacteria/processor_config.json
-
curl -L -o processor_config.json https://huggingface.co/ramankamran/llava-bacteria/resolve/main/processor_config.json
173 Bytes
| { | |
| "image_token": "<image>", | |
| "num_additional_image_tokens": 1, | |
| "patch_size": 14, | |
| "processor_class": "LlavaProcessor", | |
| "vision_feature_select_strategy": "default" | |
| } | |