Text Generation
Transformers
PyTorch
Safetensors
llama
axolotl
Generated from Trainer
text-generation-inference
Instructions to use CodeGPTPlus/deepseek-coder-1.3b-typescript with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeGPTPlus/deepseek-coder-1.3b-typescript with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="CodeGPTPlus/deepseek-coder-1.3b-typescript")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("CodeGPTPlus/deepseek-coder-1.3b-typescript") model = AutoModelForMultimodalLM.from_pretrained("CodeGPTPlus/deepseek-coder-1.3b-typescript") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use CodeGPTPlus/deepseek-coder-1.3b-typescript with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "CodeGPTPlus/deepseek-coder-1.3b-typescript" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "CodeGPTPlus/deepseek-coder-1.3b-typescript", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/CodeGPTPlus/deepseek-coder-1.3b-typescript
- SGLang
How to use CodeGPTPlus/deepseek-coder-1.3b-typescript 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 "CodeGPTPlus/deepseek-coder-1.3b-typescript" \ --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": "CodeGPTPlus/deepseek-coder-1.3b-typescript", "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 "CodeGPTPlus/deepseek-coder-1.3b-typescript" \ --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": "CodeGPTPlus/deepseek-coder-1.3b-typescript", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use CodeGPTPlus/deepseek-coder-1.3b-typescript with Docker Model Runner:
docker model run hf.co/CodeGPTPlus/deepseek-coder-1.3b-typescript
update README links
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by davila7 - opened
README.md
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<img src="codegpt-deepseek-typescript.png" alt="CodeGPT" width="800" />
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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<details><summary>See axolotl config</summary>
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<img src="codegpt-deepseek-typescript.png" alt="CodeGPT" width="800" />
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<p align="center">
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<img width="1000px" alt="CodeGPT: DeepSeek Coder - Typescript" src="codegpt-deepseek-typescript.png?raw=true">
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</p>
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<p align="center"><a href="https://codegpt.co/">[CodeGPT.co]</a> | <a href="https://ollama.ai/codegpt/deepseek-coder-1.3b-typescript">[🦙 Ollama]</a> | <a href="https://discord.gg/fKyyJX5pne">[Discord]</a> | <a href="https://marketplace.visualstudio.com/items?itemName=DanielSanMedium.dscodegpt">[VSCode Extension]</a> </p>
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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<details><summary>See axolotl config</summary>
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