Instructions to use Salesforce/codegen-350M-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Salesforce/codegen-350M-multi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Salesforce/codegen-350M-multi")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Salesforce/codegen-350M-multi") model = AutoModelForCausalLM.from_pretrained("Salesforce/codegen-350M-multi") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Salesforce/codegen-350M-multi with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Salesforce/codegen-350M-multi" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Salesforce/codegen-350M-multi", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Salesforce/codegen-350M-multi
- SGLang
How to use Salesforce/codegen-350M-multi 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/codegen-350M-multi" \ --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/codegen-350M-multi", "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/codegen-350M-multi" \ --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/codegen-350M-multi", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Salesforce/codegen-350M-multi with Docker Model Runner:
docker model run hf.co/Salesforce/codegen-350M-multi
Tokenizer incorrectly removes newline character
#4
by hellodanylo - opened
Hi,
I am seeing strange behavior where the tokenizer removes new line characters in certain examples.
Here is the smallest reproducible example:
from transformers import CodeGenTokenizer
tokenizer = CodeGenTokenizer.from_pretrained("Salesforce/codegen-350M-multi")
# new line (10), space (32), space (32)
text = "\n "
print([ord(c) for c in text])
# [10, 32, 32]
encoded = tokenizer.encode(text)
print(encoded)
# [50286]
decoded = tokenizer.decode(encoded)
print([ord(c) for c in decoded])
# actual: [32, 32]
# expected: [10, 32, 32]
Note that the decoded string is missing the leading newline symbol.
This affects the downstream uses, because the LM completes the prompt without newline symbols as well.
Also, it seems to be an issue with other variants of CodeGen model as well.