Text Generation
Transformers
Safetensors
phi-msft
Merge
mergekit
lazymergekit
cognitivecomputations/dolphin-2_6-phi-2
rhysjones/phi-2-orange
custom_code
Instructions to use Venkman42/ReversePhiter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Venkman42/ReversePhiter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Venkman42/ReversePhiter", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("Venkman42/ReversePhiter", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Venkman42/ReversePhiter with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Venkman42/ReversePhiter" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Venkman42/ReversePhiter", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Venkman42/ReversePhiter
- SGLang
How to use Venkman42/ReversePhiter 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 "Venkman42/ReversePhiter" \ --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": "Venkman42/ReversePhiter", "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 "Venkman42/ReversePhiter" \ --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": "Venkman42/ReversePhiter", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Venkman42/ReversePhiter with Docker Model Runner:
docker model run hf.co/Venkman42/ReversePhiter
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# ReversePhiter
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6493317e9621f988db6c469c/IuZIzeFuIOWGjEbLJFuNq.jpeg" alt="ReversePhiter Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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This is an experimental model made solely for the purpose of remerging it with its sibling model
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# ReversePhiter
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<img src="https://cdn-uploads.huggingface.co/production/uploads/6493317e9621f988db6c469c/IuZIzeFuIOWGjEbLJFuNq.jpeg" alt="ReversePhiter Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
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