Instructions to use shpotes/codegen-350M-mono with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use shpotes/codegen-350M-mono with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="shpotes/codegen-350M-mono")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("shpotes/codegen-350M-mono")
model = AutoModelForCausalLM.from_pretrained("shpotes/codegen-350M-mono")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use shpotes/codegen-350M-mono with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "shpotes/codegen-350M-mono"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "shpotes/codegen-350M-mono",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/shpotes/codegen-350M-mono

SGLang

How to use shpotes/codegen-350M-mono 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 "shpotes/codegen-350M-mono" \
    --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": "shpotes/codegen-350M-mono",
		"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 "shpotes/codegen-350M-mono" \
        --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": "shpotes/codegen-350M-mono",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use shpotes/codegen-350M-mono with Docker Model Runner:
```
docker model run hf.co/shpotes/codegen-350M-mono
```

shpotes commited on Mar 30, 2022

Commit

894403a

1 Parent(s): ba061fd

add tokenizer

Browse files

Files changed (6) hide show

added_tokens.json +1 -0
merges.txt +0 -0
special_tokens_map.json +1 -0
tokenizer.json +0 -0
tokenizer_config.json +1 -0
vocab.json +0 -0

added_tokens.json ADDED Viewed

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+ {"\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t": 50289, " ": 50281, "\t\t\t\t\t\t\t\t\t\t\t\t\t\t": 50292, " ": 50265, " ": 50269, "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t": 50288, "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t": 50290, " ": 50268, "\t\t\t\t\t\t\t\t": 50298, " ": 50263, "\t\t\t\t\t": 50301, " ": 50278, " ": 50257, " ": 50277, "\t\t\t\t\t\t\t": 50299, " ": 50258, " ": 50272, " ": 50261, " ": 50283, " ": 50271, " ": 50259, " ": 50282, "\t\t\t\t\t\t\t\t\t\t\t\t\t": 50293, " ": 50266, "\t\t\t\t\t\t\t\t\t\t": 50296, " ": 50284, "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t": 50287, " ": 50267, "\t\t\t\t": 50302, " ": 50279, "\t\t\t\t\t\t\t\t\t": 50297, " ": 50270, " ": 50285, "\t\t": 50304, " ": 50273, " ": 50286, " ": 50262, " ": 50275, "\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t": 50291, "\t\t\t\t\t\t\t\t\t\t\t": 50295, " ": 50276, " ": 50264, " ": 50280, " ": 50274, " ": 50260, "\t\t\t\t\t\t\t\t\t\t\t\t": 50294, "\t\t\t\t\t\t": 50300, "\t\t\t": 50303}

merges.txt ADDED Viewed

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special_tokens_map.json ADDED Viewed

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1	+ {"bos_token": "<\|endoftext\|>", "eos_token": "<\|endoftext\|>", "unk_token": "<\|endoftext\|>"}

tokenizer.json ADDED Viewed

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tokenizer_config.json ADDED Viewed

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1	+ {"unk_token": "<\|endoftext\|>", "bos_token": "<\|endoftext\|>", "eos_token": "<\|endoftext\|>", "add_prefix_space": false, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "gpt2", "tokenizer_class": "GPT2Tokenizer"}

vocab.json ADDED Viewed

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