Instructions to use abhinema/gpt-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abhinema/gpt-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="abhinema/gpt-medium")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("abhinema/gpt-medium") model = AutoModelForCausalLM.from_pretrained("abhinema/gpt-medium", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use abhinema/gpt-medium with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "abhinema/gpt-medium" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "abhinema/gpt-medium", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/abhinema/gpt-medium
- SGLang
How to use abhinema/gpt-medium 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 "abhinema/gpt-medium" \ --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": "abhinema/gpt-medium", "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 "abhinema/gpt-medium" \ --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": "abhinema/gpt-medium", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use abhinema/gpt-medium with Docker Model Runner:
docker model run hf.co/abhinema/gpt-medium
Commit History
-
Upload pytorch_model.bin with git-lfs
4a20a1b -
Upload tokenizer_config.json
d424e59 -
Upload config.json
01d102c
-
Upload added_tokens.json
f273cab -
Upload config.json
f90f425 -
Upload gpt_sh_config.json
3c8dca6 -
Upload merges.txt
c09d271 -
Upload special_tokens_map.json
093d551 -
Upload tokenizer_config.json
c109c53 -
Upload vocab.json
96f2bfd -
Upload pytorch_model.bin with git-lfs
961d599 -
initial commit
c59f1ee