Instructions to use senseable/33x-coder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use senseable/33x-coder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="senseable/33x-coder")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("senseable/33x-coder") model = AutoModelForCausalLM.from_pretrained("senseable/33x-coder") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use senseable/33x-coder with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "senseable/33x-coder" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "senseable/33x-coder", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/senseable/33x-coder
- SGLang
How to use senseable/33x-coder 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 "senseable/33x-coder" \ --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": "senseable/33x-coder", "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 "senseable/33x-coder" \ --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": "senseable/33x-coder", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use senseable/33x-coder with Docker Model Runner:
docker model run hf.co/senseable/33x-coder
Wit Sense commited on
Commit ·
d98896b
1
Parent(s): 5d549c6
remove index
Browse files
.DS_Store
CHANGED
|
Binary files a/.DS_Store and b/.DS_Store differ
|
|
|
README.md
CHANGED
|
@@ -6,8 +6,6 @@ metrics:
|
|
| 6 |
library_name: transformers
|
| 7 |
tags:
|
| 8 |
- Code Generation
|
| 9 |
-
model-index:
|
| 10 |
-
- name: 33x-coder
|
| 11 |
datasets:
|
| 12 |
- andersonbcdefg/synthetic_retrieval_tasks
|
| 13 |
- ise-uiuc/Magicoder-Evol-Instruct-110K
|
|
|
|
| 6 |
library_name: transformers
|
| 7 |
tags:
|
| 8 |
- Code Generation
|
|
|
|
|
|
|
| 9 |
datasets:
|
| 10 |
- andersonbcdefg/synthetic_retrieval_tasks
|
| 11 |
- ise-uiuc/Magicoder-Evol-Instruct-110K
|