Instructions to use mhhmm/codegen-6B-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mhhmm/codegen-6B-lora with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="mhhmm/codegen-6B-lora")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("mhhmm/codegen-6B-lora") model = AutoModelForCausalLM.from_pretrained("mhhmm/codegen-6B-lora") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use mhhmm/codegen-6B-lora with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "mhhmm/codegen-6B-lora" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mhhmm/codegen-6B-lora", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/mhhmm/codegen-6B-lora
- SGLang
How to use mhhmm/codegen-6B-lora 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 "mhhmm/codegen-6B-lora" \ --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": "mhhmm/codegen-6B-lora", "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 "mhhmm/codegen-6B-lora" \ --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": "mhhmm/codegen-6B-lora", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use mhhmm/codegen-6B-lora with Docker Model Runner:
docker model run hf.co/mhhmm/codegen-6B-lora
Update README.md
Browse files
README.md
CHANGED
|
@@ -11,9 +11,8 @@ widget:
|
|
| 11 |
- text: "
|
| 12 |
# Given an array of integers, return indices of the two numbers such that they add up to a specific target
|
| 13 |
|
| 14 |
-
|
| 15 |
-
|
| 16 |
-
```
|
| 17 |
"
|
| 18 |
example_title: "Twosum problem"
|
| 19 |
---
|
|
|
|
| 11 |
- text: "
|
| 12 |
# Given an array of integers, return indices of the two numbers such that they add up to a specific target
|
| 13 |
|
| 14 |
+
|
| 15 |
+
def twoSum(array, target) -> List[int]:
|
|
|
|
| 16 |
"
|
| 17 |
example_title: "Twosum problem"
|
| 18 |
---
|