Instructions to use pierreqi/starcoderbase-3b-cont-r with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use pierreqi/starcoderbase-3b-cont-r with Transformers:

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

pipe = pipeline("text-generation", model="pierreqi/starcoderbase-3b-cont-r")

# Load model directly
from transformers import AutoTokenizer, AutoModelForMultimodalLM

tokenizer = AutoTokenizer.from_pretrained("pierreqi/starcoderbase-3b-cont-r")
model = AutoModelForMultimodalLM.from_pretrained("pierreqi/starcoderbase-3b-cont-r")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use pierreqi/starcoderbase-3b-cont-r with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/pierreqi/starcoderbase-3b-cont-r

SGLang

How to use pierreqi/starcoderbase-3b-cont-r 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 "pierreqi/starcoderbase-3b-cont-r" \
    --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": "pierreqi/starcoderbase-3b-cont-r",
		"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 "pierreqi/starcoderbase-3b-cont-r" \
        --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": "pierreqi/starcoderbase-3b-cont-r",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use pierreqi/starcoderbase-3b-cont-r with Docker Model Runner:
```
docker model run hf.co/pierreqi/starcoderbase-3b-cont-r
```

pierreqi commited on May 3, 2025

Commit

790f988

verified ·

1 Parent(s): 919fc66

Training in progress, step 7350

Browse files

Files changed (3) hide show

model-00001-of-00002.safetensors +1 -1
model-00002-of-00002.safetensors +1 -1
runs/May03_04-45-31_2e4687cfbd88/events.out.tfevents.1746247534.2e4687cfbd88.12397.0 +2 -2

model-00001-of-00002.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0abc90e390f95349aa944e9d269c00f141b7caddf47a39d108078a63f45e78f9
 size 4999140440

 version https://git-lfs.github.com/spec/v1
+oid sha256:b9eab0be248c0fbb2448dd89cdbb623221f852c97ff431f2c8ecf30acdf02217
 size 4999140440

model-00002-of-00002.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0442b8b55a27116c826e042cf479dc8ffd71d4474d30a716f2c5fdd03f12db81
 size 1087533576

 version https://git-lfs.github.com/spec/v1
+oid sha256:2932911c1856cd42202d3fd291ea3edf71aedc1a819add7182aab552655117a7
 size 1087533576

runs/May03_04-45-31_2e4687cfbd88/events.out.tfevents.1746247534.2e4687cfbd88.12397.0 CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4be9c9b11264bc0413365f379679e4f857ec59adb845e04ee900b94d738a355f
-size 20123

 version https://git-lfs.github.com/spec/v1
+oid sha256:533a25e8d849762b4c7133fe6ae8509246341724447ce30469fed8b34c07017c
+size 21110