Instructions to use Salesforce/codegen25-7b-multi_P with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/codegen25-7b-multi_P with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Salesforce/codegen25-7b-multi_P")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Salesforce/codegen25-7b-multi_P") model = AutoModelForCausalLM.from_pretrained("Salesforce/codegen25-7b-multi_P", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Salesforce/codegen25-7b-multi_P with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Salesforce/codegen25-7b-multi_P" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Salesforce/codegen25-7b-multi_P", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Salesforce/codegen25-7b-multi_P
- SGLang
How to use Salesforce/codegen25-7b-multi_P 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 "Salesforce/codegen25-7b-multi_P" \ --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": "Salesforce/codegen25-7b-multi_P", "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 "Salesforce/codegen25-7b-multi_P" \ --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": "Salesforce/codegen25-7b-multi_P", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Salesforce/codegen25-7b-multi_P with Docker Model Runner:
docker model run hf.co/Salesforce/codegen25-7b-multi_P
Commit History
-
Undo breaking change for now
Verified signatured85e727
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tokenizer fix
Verified signaturef319d91
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Make _decode compatible with PreTrainedTokenizerBase (#8)
- Make _decode compatible with PreTrainedTokenizerBase (1d07fb39189bd0bb45500bca7dfce4107eda74fb) Co-authored-by: Vincent Brouwers <Vinno97@users.noreply.huggingface.co>d4dc9dd
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update metadata (#4)
- update metadata (4c435010bae81b0dac85a68ab8028b4ee9cd6e70) Co-authored-by: Leandro von Werra <lvwerra@users.noreply.huggingface.co>08bd09d
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Update README.md
aa1bd9b
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Fixed model name in example (#1)
- Fixed model name in example (bc26f7e23b56d3f536cf8088f29c27422997e1fc) Co-authored-by: Jaskirat Singh <jaskirat2222@users.noreply.huggingface.co>77c5b81
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85a4c61 -
initial commit
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