Instructions to use microsoft/biogpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/biogpt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="microsoft/biogpt")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("microsoft/biogpt") model = AutoModelForCausalLM.from_pretrained("microsoft/biogpt") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use microsoft/biogpt with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "microsoft/biogpt" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "microsoft/biogpt", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/microsoft/biogpt
- SGLang
How to use microsoft/biogpt 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 "microsoft/biogpt" \ --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": "microsoft/biogpt", "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 "microsoft/biogpt" \ --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": "microsoft/biogpt", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use microsoft/biogpt with Docker Model Runner:
docker model run hf.co/microsoft/biogpt
Adds missing tokenizer configuration file
This repository is missing the tokenizer configuration file, and is instead relying on some attributes set within
the transformers library directly in order to correctly tokenize inputs.
In order to ensure repositories don't depend on internal configuration changes, we're removing these attribute maps
in transformers#29112.
In doing so, we see that the following attributes are currently missing from the configuration and would be
ill-configured without this PR:
{'model_max_length': 1024}
This PR aims to add these attributes and their values to the tokenizer config file.
This will proceed to make this repository more robust by ensuring that:
- the repository does not depend on intra-library code
- clones of this repository continue working as expected even without the correct repository name
- other libraries that would like to leverage this repository do not depend on code within the transformers library
Thanks π€