Instructions to use TinyPixel/testmodel2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TinyPixel/testmodel2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="TinyPixel/testmodel2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("TinyPixel/testmodel2") model = AutoModelForCausalLM.from_pretrained("TinyPixel/testmodel2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use TinyPixel/testmodel2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "TinyPixel/testmodel2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "TinyPixel/testmodel2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/TinyPixel/testmodel2
- SGLang
How to use TinyPixel/testmodel2 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 "TinyPixel/testmodel2" \ --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": "TinyPixel/testmodel2", "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 "TinyPixel/testmodel2" \ --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": "TinyPixel/testmodel2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use TinyPixel/testmodel2 with Docker Model Runner:
docker model run hf.co/TinyPixel/testmodel2
Download model-00010-of-00014.safetensors from TinyPixel/testmodel2: direct link, hf CLI and curl.
- Browser
- Download file 944 MB
-
https://huggingface.co/TinyPixel/testmodel2/resolve/main/model-00010-of-00014.safetensors
- Command line
-
hf download hf://TinyPixel/testmodel2/model-00010-of-00014.safetensors
-
curl -L -o model-00010-of-00014.safetensors https://huggingface.co/TinyPixel/testmodel2/resolve/main/model-00010-of-00014.safetensors
944 MB
- Xet hash:
- 34ec9b844ff9e07a93bb92fa6b7ac18f9b9a3ed0e46efa768a5ccb5d16e48261
- Size of remote file:
- 944 MB
- SHA256:
- e510dcb6de1b2bae842bebd0e4e8e20b5dbf9a090385c9ede48919184b8e405c
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