Text Generation
Transformers
TensorBoard
Safetensors
PEFT
Trained with AutoTrain
text-generation-inference
Instructions to use shafire/AgentZero with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shafire/AgentZero with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="shafire/AgentZero")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shafire/AgentZero", dtype="auto") - PEFT
How to use shafire/AgentZero with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use shafire/AgentZero with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "shafire/AgentZero" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "shafire/AgentZero", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/shafire/AgentZero
- SGLang
How to use shafire/AgentZero 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 "shafire/AgentZero" \ --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": "shafire/AgentZero", "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 "shafire/AgentZero" \ --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": "shafire/AgentZero", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use shafire/AgentZero with Docker Model Runner:
docker model run hf.co/shafire/AgentZero
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# Model Trained Using AutoTrain
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This model was trained using AutoTrain by talktoai.org researchforum.online research and math equations and context for the math. Trained to give better answers using quantum thinking methods and bypassing the need for quantum computing, using quantum and interdimensional mathematics not for better math for higher intelligence outputs. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
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# Model Trained Using AutoTrain
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This model was trained using AutoTrain by talktoai.org researchforum.online research and math equations and context for the math. Trained to give better answers using quantum thinking methods and bypassing the need for quantum computing, using quantum and interdimensional mathematics not for better math for higher intelligence outputs. Will edit this readme add images and more info etc once i get a gguf format. For more information, please visit [AutoTrain](https://hf.co/docs/autotrain).
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