Instructions to use ryefoxlime/TADBot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ryefoxlime/TADBot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="ryefoxlime/TADBot")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ryefoxlime/TADBot", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use ryefoxlime/TADBot with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "ryefoxlime/TADBot" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "ryefoxlime/TADBot", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/ryefoxlime/TADBot
- SGLang
How to use ryefoxlime/TADBot 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 "ryefoxlime/TADBot" \ --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": "ryefoxlime/TADBot", "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 "ryefoxlime/TADBot" \ --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": "ryefoxlime/TADBot", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use ryefoxlime/TADBot with Docker Model Runner:
docker model run hf.co/ryefoxlime/TADBot
Commit ·
26b98fd
1
Parent(s): 0e084be
Configured to use python 3.11 as default
Browse files- .python-version +1 -1
- pyproject.toml +1 -1
- uv.lock +7 -0
.python-version
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pyproject.toml
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version = "0.1.0"
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description = "Add your description here"
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readme = "README.md"
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requires-python = ">=3.
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dependencies = []
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version = "0.1.0"
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description = "Add your description here"
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readme = "README.md"
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requires-python = ">=3.11"
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dependencies = []
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uv.lock
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version = 1
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requires-python = ">=3.11"
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[[package]]
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name = "tadbot"
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version = "0.1.0"
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source = { virtual = "." }
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