Instructions to use HuggingFaceBio/Carbon-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use HuggingFaceBio/Carbon-3B with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="HuggingFaceBio/Carbon-3B")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("HuggingFaceBio/Carbon-3B")
model = AutoModelForCausalLM.from_pretrained("HuggingFaceBio/Carbon-3B", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use HuggingFaceBio/Carbon-3B with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "HuggingFaceBio/Carbon-3B"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "HuggingFaceBio/Carbon-3B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/HuggingFaceBio/Carbon-3B

SGLang

How to use HuggingFaceBio/Carbon-3B 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 "HuggingFaceBio/Carbon-3B" \
    --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": "HuggingFaceBio/Carbon-3B",
		"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 "HuggingFaceBio/Carbon-3B" \
        --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": "HuggingFaceBio/Carbon-3B",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use HuggingFaceBio/Carbon-3B with Docker Model Runner:
```
docker model run hf.co/HuggingFaceBio/Carbon-3B
```

lewtun HF Staff commited on 21 days ago

Commit

07c88a2

verified ·

1 Parent(s): 95c3c68

Drop the `dna` language code, spell out the Telethon Institute of Genetics and Medicine and add partner logos

Browse files

Files changed (3) hide show

.gitattributes +1 -0
README.md +5 -3
figures/partner-logos.png +3 -0

.gitattributes CHANGED Viewed

@@ -38,3 +38,4 @@ figures/inference.png filter=lfs diff=lfs merge=lfs -text
 figures/pareto.png filter=lfs diff=lfs merge=lfs -text
 figures/carbon-3b-banner.png filter=lfs diff=lfs merge=lfs -text
 tech-report.pdf filter=lfs diff=lfs merge=lfs -text

 figures/pareto.png filter=lfs diff=lfs merge=lfs -text
 figures/carbon-3b-banner.png filter=lfs diff=lfs merge=lfs -text
 tech-report.pdf filter=lfs diff=lfs merge=lfs -text
+figures/partner-logos.png filter=lfs diff=lfs merge=lfs -text

README.md CHANGED Viewed

@@ -1,8 +1,6 @@
 ---
 library_name: transformers
 license: apache-2.0
-language:
-- dna
 tags:
 - dna
 - genomic
@@ -385,7 +383,11 @@ Apache 2.0.
 ## Acknowledgements
-Carbon is a joint collaboration between the research teams at Hugging Face, Zhongguancun Academy, and TIGEM/University of Naples “Federico II”.
 ## Citation

 ---
 library_name: transformers
 license: apache-2.0
 tags:
 - dna
 - genomic
 ## Acknowledgements
+Carbon is a joint collaboration between the research teams at [Hugging Face](https://huggingface.co), [Zhongguancun Academy](https://www.bza.edu.cn/en/), and the [Telethon Institute of Genetics and Medicine](https://www.tigem.it/)/[University of Naples “Federico II”](https://www.dicmapi.unina.it/).
+<p align="center">
+  <img src="figures/partner-logos.png" alt="Hugging Face, Zhongguancun Academy, Telethon Institute of Genetics and Medicine and University of Naples Federico II" width="800">
+</p>
 ## Citation

figures/partner-logos.png ADDED Viewed

Git LFS Details

SHA256: b68a98c4828da90eaaef533d3699ff7867193aff212a88e90414a06953409ef6
Pointer size: 131 Bytes
Size of remote file: 196 kB