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")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("HenryTbelt/e2b-biocoder", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- 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 ·
40cb3f7
1
Parent(s): 1512cbb
Update config.json
Browse files- config.json +3 -3
config.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
-
"model_type": "
|
| 3 |
-
"model_name_or_path": "
|
| 4 |
"max_length": 128,
|
| 5 |
-
"temperature": 0.
|
| 6 |
"repetition_penalty": 1.0,
|
| 7 |
"num_beams": 4
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"model_type": "text2text_generation",
|
| 3 |
+
"model_name_or_path": "google/pegasus-xsum",
|
| 4 |
"max_length": 128,
|
| 5 |
+
"temperature": 0.7,
|
| 6 |
"repetition_penalty": 1.0,
|
| 7 |
"num_beams": 4
|
| 8 |
}
|