Instructions to use Kryptonian99/swin2_GPT_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kryptonian99/swin2_GPT_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="Kryptonian99/swin2_GPT_model")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("Kryptonian99/swin2_GPT_model") model = AutoModelForImageTextToText.from_pretrained("Kryptonian99/swin2_GPT_model") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Kryptonian99/swin2_GPT_model with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Kryptonian99/swin2_GPT_model" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Kryptonian99/swin2_GPT_model", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Kryptonian99/swin2_GPT_model
- SGLang
How to use Kryptonian99/swin2_GPT_model 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 "Kryptonian99/swin2_GPT_model" \ --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": "Kryptonian99/swin2_GPT_model", "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 "Kryptonian99/swin2_GPT_model" \ --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": "Kryptonian99/swin2_GPT_model", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Kryptonian99/swin2_GPT_model with Docker Model Runner:
docker model run hf.co/Kryptonian99/swin2_GPT_model
Upload folder using huggingface_hub
Browse files- config.json +0 -0
- generation_config.json +6 -0
- model.safetensors +3 -0
config.json
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{
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"_from_model_config": true,
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"bos_token_id": 50256,
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"eos_token_id": 50256,
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"transformers_version": "4.39.1"
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}
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version https://git-lfs.github.com/spec/v1
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oid sha256:e006b05d9088bda918982264c7cb7e23ea3fb3624fd892d9049437fdd6ab2ea3
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size 962041624
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