Instructions to use ocolegro/test4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ocolegro/test4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ocolegro/test4")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ocolegro/test4") model = AutoModelForCausalLM.from_pretrained("ocolegro/test4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use ocolegro/test4 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ocolegro/test4" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ocolegro/test4", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ocolegro/test4
- SGLang
How to use ocolegro/test4 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 "ocolegro/test4" \ --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": "ocolegro/test4", "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 "ocolegro/test4" \ --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": "ocolegro/test4", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ocolegro/test4 with Docker Model Runner:
docker model run hf.co/ocolegro/test4
Download pytorch_model.bin from ocolegro/test4: direct link, hf CLI and curl.
- Browser
- Download file 5.26 GB
-
https://huggingface.co/ocolegro/test4/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ocolegro/test4/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ocolegro/test4/resolve/main/pytorch_model.bin
5.26 GB
- Xet hash:
- 604063eaec9bee785f74eaea80b119c5727c743f8bda02ad2282fa363a5a093d
- Size of remote file:
- 5.26 GB
- SHA256:
- 800e3fb26a5e0e527162c164c72efe3d98fa8cd7d1b595e64e3a07ed4a4e85f1
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