Instructions to use Hon-Wong/VoRA-7B-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hon-Wong/VoRA-7B-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="Hon-Wong/VoRA-7B-Base", trust_remote_code=True) messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Hon-Wong/VoRA-7B-Base", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Hon-Wong/VoRA-7B-Base with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Hon-Wong/VoRA-7B-Base" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Hon-Wong/VoRA-7B-Base", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/Hon-Wong/VoRA-7B-Base
- SGLang
How to use Hon-Wong/VoRA-7B-Base with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "Hon-Wong/VoRA-7B-Base" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Hon-Wong/VoRA-7B-Base", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "Hon-Wong/VoRA-7B-Base" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Hon-Wong/VoRA-7B-Base", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Docker Model Runner
How to use Hon-Wong/VoRA-7B-Base with Docker Model Runner:
docker model run hf.co/Hon-Wong/VoRA-7B-Base
| from typing import Any | |
| from transformers.configuration_utils import PretrainedConfig | |
| __all__ = ["VoRAConfig"] | |
| class VoRAConfig(PretrainedConfig): | |
| model_type = "vora" | |
| _auto_class = "AutoConfig" | |
| def __init__( | |
| self, | |
| llm: str = "", | |
| aux_vision: str = "", | |
| lora: dict = {}, | |
| image_size: int = 448, | |
| vision_embedding_type: str = "", | |
| vision_embedding_intermediate_size: int = 1536, | |
| patch_size: int = 14, | |
| vision_attention_mask: str = "bidirectional", | |
| rms_norm_eps: float = 1e-5, | |
| **kwargs: Any, | |
| ): | |
| super().__init__(**kwargs) | |
| self.llm = llm | |
| self.aux_vision = aux_vision | |
| self.lora = lora | |
| self.image_size = image_size | |
| self.vision_embedding_type = vision_embedding_type | |
| self.vision_embedding_intermediate_size = vision_embedding_intermediate_size | |
| self.patch_size = patch_size | |
| self.vision_attention_mask = vision_attention_mask | |
| self.rms_norm_eps = rms_norm_eps | |