Update LLaVA-NeXT.md

docs/LLaVA-NeXT.md

@@ -10,47 +10,6 @@ pip install git+https://github.com/EvolvingLMMs-Lab/lmms-eval.git
 
 ### Quick Start With HuggingFace
 
-```Python
-from llava.model.builder import load_pretrained_model
-from llava.mm_utils import get_model_name_from_path
-from llava.eval.run_llava import eval_model
-
-model_path = "liuhaotian/llava-v1.5-7b"
-
-tokenizer, model, image_processor, context_len = load_pretrained_model(
- model_path=model_path,
- model_base=None,
- model_name=get_model_name_from_path(model_path)
-)
-```
-
-Check out the details wth the `load_pretrained_model` function in `llava/model/builder.py`.
-
-You can also use the `eval_model` function in `llava/eval/run_llava.py` to get the output easily. By doing so, you can use this code on Colab directly after downloading this repository.
-
-``` python
-model_path = "liuhaotian/llava-v1.5-7b"
-prompt = "What are the things I should be cautious about when I visit here?"
-image_file = "https://llava-vl.github.io/static/images/view.jpg"
-
-args = type('Args', (), {
- "model_path": model_path,
- "model_base": None,
- "model_name": get_model_name_from_path(model_path),
- "query": prompt,
- "conv_mode": None,
- "image_file": image_file,
- "sep": ",",
- "temperature": 0,
- "top_p": None,
- "num_beams": 1,
- "max_new_tokens": 512
-})()
-
-eval_model(args)
-```
-
-### Inference code
 Here is a quick inference code using [`llavanext-llama3-8B`](https://huggingface.co/lmms-lab/llama3-llava-next-8b) as an example. You will need to install [`flash-attn`](https://github.com/Dao-AILab/flash-attention) to use this code snippet. If you don't want to install it, you can set `attn_implementation=None` when load_pretrained_model
 ```python
 from llava.model.builder import load_pretrained_model