Text Generation
Transformers
Safetensors
English
gpt-oss
agent
tool-calling
react
lora
unsloth
trl
reasoning
harmony
Instructions to use shiv207/gpt_oss_AGENTBOI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shiv207/gpt_oss_AGENTBOI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="shiv207/gpt_oss_AGENTBOI")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shiv207/gpt_oss_AGENTBOI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use shiv207/gpt_oss_AGENTBOI with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "shiv207/gpt_oss_AGENTBOI" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "shiv207/gpt_oss_AGENTBOI", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/shiv207/gpt_oss_AGENTBOI
- SGLang
How to use shiv207/gpt_oss_AGENTBOI 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 "shiv207/gpt_oss_AGENTBOI" \ --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": "shiv207/gpt_oss_AGENTBOI", "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 "shiv207/gpt_oss_AGENTBOI" \ --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": "shiv207/gpt_oss_AGENTBOI", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Unsloth Desktop
- Docker Model Runner
How to use shiv207/gpt_oss_AGENTBOI with Docker Model Runner:
docker model run hf.co/shiv207/gpt_oss_AGENTBOI
Download adapter_model.safetensors from shiv207/gpt_oss_AGENTBOI: direct link, hf CLI and curl.
- Browser
- Download file 16 MB
-
https://huggingface.co/shiv207/gpt_oss_AGENTBOI/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://shiv207/gpt_oss_AGENTBOI/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/shiv207/gpt_oss_AGENTBOI/resolve/main/adapter_model.safetensors
16 MB
- Xet hash:
- d4170902553cf2f2383bcda6d868832c67ff9375aedad8e470deea290ca580bc
- Size of remote file:
- 16 MB
- SHA256:
- df5fbaac36ccb434ff82858f99a6318a3cc759d578261fc5be8947a3338eb8e1
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