Text Generation
Transformers
PyTorch
Safetensors
opt
Generated from Trainer
OPT
non-commercial
dialogue
chatbot
ai-msgbot
text-generation-inference
Instructions to use pszemraj/opt-peter-2.7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pszemraj/opt-peter-2.7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="pszemraj/opt-peter-2.7B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("pszemraj/opt-peter-2.7B") model = AutoModelForCausalLM.from_pretrained("pszemraj/opt-peter-2.7B") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use pszemraj/opt-peter-2.7B with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "pszemraj/opt-peter-2.7B" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "pszemraj/opt-peter-2.7B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/pszemraj/opt-peter-2.7B
- SGLang
How to use pszemraj/opt-peter-2.7B 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 "pszemraj/opt-peter-2.7B" \ --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": "pszemraj/opt-peter-2.7B", "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 "pszemraj/opt-peter-2.7B" \ --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": "pszemraj/opt-peter-2.7B", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use pszemraj/opt-peter-2.7B with Docker Model Runner:
docker model run hf.co/pszemraj/opt-peter-2.7B
- Xet hash:
- b68f5c9c5f8fde10d06c80c7d6d1ea42e7e17c156c7eba577074338b69730e34
- Size of remote file:
- 4.27 kB
- SHA256:
- de2ba60d145cb1598356d13c34552cb02e8a823370db813704fe0b11ee852e92
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