Instructions to use HenryTbelt/e2b-biocoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HenryTbelt/e2b-biocoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="HenryTbelt/e2b-biocoder")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HenryTbelt/e2b-biocoder", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use HenryTbelt/e2b-biocoder with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "HenryTbelt/e2b-biocoder" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "HenryTbelt/e2b-biocoder", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/HenryTbelt/e2b-biocoder
- SGLang
How to use HenryTbelt/e2b-biocoder 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 "HenryTbelt/e2b-biocoder" \ --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": "HenryTbelt/e2b-biocoder", "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 "HenryTbelt/e2b-biocoder" \ --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": "HenryTbelt/e2b-biocoder", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use HenryTbelt/e2b-biocoder with Docker Model Runner:
docker model run hf.co/HenryTbelt/e2b-biocoder
Commit History
-
Update README.md
da0cf64 -
Update config.json
40cb3f7 -
Update README.md
1512cbb -
Update README.md
4aaea96 -
Update README.md
e675608 -
Update config.json
0bb4d54 -
Update config.json
a72c9fc -
Update README.md
9f14f15 -
Update config.json
8f39d0c -
Update README.md
98e3893 -
Update README.md
4b7dd7c -
Update README.md
2fbbc5b -
Update config.json
e50a9b2 -
Update config.json
050dfa0 -
Update config.json
0a1972f -
Update config.json
1f0ef63 -
Update config.json
91b9392
-
Create config.json
4258cd0 -
Update README.md
24f7762 -
Update README.md
dc3c8d3 -
Update README.md
b063246 -
Update README.md
f79b7c7 -
Update README.md
a3364a5 -
Update README.md
b08339a -
Update README.md
b33e53c -
Update README.md
cdc103b -
Update README.md
843a4b2 -
Update README.md
df9b5ba -
initial commit
f94dff8