Instructions to use Smilyai-labs/Sam-2.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Smilyai-labs/Sam-2.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Smilyai-labs/Sam-2.0")# Load model directly from transformers import AutoProcessor, AutoModelForCausalLM processor = AutoProcessor.from_pretrained("Smilyai-labs/Sam-2.0") model = AutoModelForCausalLM.from_pretrained("Smilyai-labs/Sam-2.0") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Smilyai-labs/Sam-2.0 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Smilyai-labs/Sam-2.0" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Smilyai-labs/Sam-2.0", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Smilyai-labs/Sam-2.0
- SGLang
How to use Smilyai-labs/Sam-2.0 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 "Smilyai-labs/Sam-2.0" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Smilyai-labs/Sam-2.0", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'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 "Smilyai-labs/Sam-2.0" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Smilyai-labs/Sam-2.0", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Smilyai-labs/Sam-2.0 with Docker Model Runner:
docker model run hf.co/Smilyai-labs/Sam-2.0
| { | |
| "model_type": "sam2", | |
| "architectures": ["Sam2ForCausalLM"], | |
| "vocab_size": 50262, | |
| "d_model": 384, | |
| "n_layers": 6, | |
| "n_heads": 6, | |
| "ff_mult": 4.0, | |
| "dropout": 0.1, | |
| "input_modality": "text", | |
| "head_type": "causal_lm", | |
| "version": "0.1", | |
| "pad_token_id": 50256, | |
| "bos_token_id": 50256, | |
| "eos_token_id": 50256, | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.44.0" | |
| } | |