Text Generation
Transformers
Safetensors
starcoder2
code
Eval Results (legacy)
text-generation-inference
Instructions to use bigcode/starcoder2-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigcode/starcoder2-7b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="bigcode/starcoder2-7b")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("bigcode/starcoder2-7b") model = AutoModelForCausalLM.from_pretrained("bigcode/starcoder2-7b") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use bigcode/starcoder2-7b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "bigcode/starcoder2-7b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "bigcode/starcoder2-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/bigcode/starcoder2-7b
- SGLang
How to use bigcode/starcoder2-7b 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 "bigcode/starcoder2-7b" \ --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": "bigcode/starcoder2-7b", "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 "bigcode/starcoder2-7b" \ --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": "bigcode/starcoder2-7b", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use bigcode/starcoder2-7b with Docker Model Runner:
docker model run hf.co/bigcode/starcoder2-7b
update readme
#10
by ZennyKenny - opened
README.md
CHANGED
|
@@ -75,12 +75,12 @@ model-index:
|
|
| 75 |
|
| 76 |
## Table of Contents
|
| 77 |
|
| 78 |
-
1. [Model Summary](#
|
| 79 |
-
2. [Use](#
|
| 80 |
-
3. [Limitations](#
|
| 81 |
-
4. [Training](#
|
| 82 |
-
5. [License](#
|
| 83 |
-
6. [Citation](#
|
| 84 |
|
| 85 |
## Model Summary
|
| 86 |
|
|
|
|
| 75 |
|
| 76 |
## Table of Contents
|
| 77 |
|
| 78 |
+
1. [Model Summary](#model-summary)
|
| 79 |
+
2. [Use](#use)
|
| 80 |
+
3. [Limitations](#limitations)
|
| 81 |
+
4. [Training](#training)
|
| 82 |
+
5. [License](#license)
|
| 83 |
+
6. [Citation](#citation)
|
| 84 |
|
| 85 |
## Model Summary
|
| 86 |
|