Instructions to use Ti-Ma/TiMaGPT2-2022 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ti-Ma/TiMaGPT2-2022 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Ti-Ma/TiMaGPT2-2022")# Load model directly from transformers import AutoTokenizer, AutoModelWithLMHead tokenizer = AutoTokenizer.from_pretrained("Ti-Ma/TiMaGPT2-2022") model = AutoModelWithLMHead.from_pretrained("Ti-Ma/TiMaGPT2-2022") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Ti-Ma/TiMaGPT2-2022 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Ti-Ma/TiMaGPT2-2022" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Ti-Ma/TiMaGPT2-2022", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Ti-Ma/TiMaGPT2-2022
- SGLang
How to use Ti-Ma/TiMaGPT2-2022 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 "Ti-Ma/TiMaGPT2-2022" \ --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": "Ti-Ma/TiMaGPT2-2022", "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 "Ti-Ma/TiMaGPT2-2022" \ --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": "Ti-Ma/TiMaGPT2-2022", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Ti-Ma/TiMaGPT2-2022 with Docker Model Runner:
docker model run hf.co/Ti-Ma/TiMaGPT2-2022
Help needed to run model on VLLm
#1
by rbarria - opened
Dear community,
I was trying to test this model on Colab T4,
and when I runned it:
import os
os.environ["VLLM_USE_V1"] = "0"
!vllm serve "Ti-Ma/TiMaGPT2-2022"
Got the error "PoptorchPipelinedGPT2LMHeadModel has no vLLM implementation and the Transformers implementation is not compatible with vLLM".
What can be done to run this model on vllm?
Thank you very much for your help.