Image-Text-to-Text
Transformers
Safetensors
samtok_composite
feature-extraction
qwen3-vl
samtok
segmentation
remote-code
conversational
custom_code
Instructions to use godx7/SAMTok-self-contained with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use godx7/SAMTok-self-contained with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="godx7/SAMTok-self-contained", 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 AutoModel model = AutoModel.from_pretrained("godx7/SAMTok-self-contained", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use godx7/SAMTok-self-contained with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "godx7/SAMTok-self-contained" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "godx7/SAMTok-self-contained", "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/godx7/SAMTok-self-contained
- SGLang
How to use godx7/SAMTok-self-contained 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 "godx7/SAMTok-self-contained" \ --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": "godx7/SAMTok-self-contained", "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 "godx7/SAMTok-self-contained" \ --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": "godx7/SAMTok-self-contained", "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 godx7/SAMTok-self-contained with Docker Model Runner:
docker model run hf.co/godx7/SAMTok-self-contained
| { | |
| "architectures": [ | |
| "SAMTokCompositeModel" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_samtok.SAMTokCompositeConfig", | |
| "AutoModel": "modeling_samtok.SAMTokCompositeModel" | |
| }, | |
| "codebook_depth": 2, | |
| "codebook_size": 256, | |
| "decode_chunk_size": 8, | |
| "dtype": "bfloat16", | |
| "latent_dim": 256, | |
| "max_samtok_masks": 32, | |
| "model_type": "samtok_composite", | |
| "qwen_config_file": "qwen_config.json", | |
| "sam2_ckpt_file": "sam2.1_hiera_large.pt", | |
| "sam2_image_size": 1024, | |
| "shared_codebook": false, | |
| "transformers_version": "4.57.0", | |
| "vq_sam2_file": "mask_tokenizer_256x2.pth" | |
| } | |