Instructions to use AlgoAnalytics/Test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlgoAnalytics/Test_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="AlgoAnalytics/Test_model", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("AlgoAnalytics/Test_model", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("AlgoAnalytics/Test_model", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use AlgoAnalytics/Test_model with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "AlgoAnalytics/Test_model" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "AlgoAnalytics/Test_model", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/AlgoAnalytics/Test_model
- SGLang
How to use AlgoAnalytics/Test_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 "AlgoAnalytics/Test_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": "AlgoAnalytics/Test_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 "AlgoAnalytics/Test_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": "AlgoAnalytics/Test_model", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use AlgoAnalytics/Test_model with Docker Model Runner:
docker model run hf.co/AlgoAnalytics/Test_model
Download adapter_model.safetensors from AlgoAnalytics/Test_model: direct link, hf CLI and curl.
- Browser
- Download file 50.4 MB
-
https://huggingface.co/AlgoAnalytics/Test_model/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://AlgoAnalytics/Test_model/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/AlgoAnalytics/Test_model/resolve/main/adapter_model.safetensors
50.4 MB
- Xet hash:
- 40a2a7bed290129b521b370b93e482b768b070126806a17292dc70f9658a5519
- Size of remote file:
- 50.4 MB
- SHA256:
- bc3d3c7ca7e3425284261b6da24aeb43c07a7836672b6e802d61d5365625bc51
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