Instructions to use Salesforce/codegen-16B-mono with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Salesforce/codegen-16B-mono with Transformers:

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

pipe = pipeline("text-generation", model="Salesforce/codegen-16B-mono")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Salesforce/codegen-16B-mono")
model = AutoModelForCausalLM.from_pretrained("Salesforce/codegen-16B-mono")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Salesforce/codegen-16B-mono with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Salesforce/codegen-16B-mono"
# 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-16B-mono",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Salesforce/codegen-16B-mono

SGLang

How to use Salesforce/codegen-16B-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 "Salesforce/codegen-16B-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": "Salesforce/codegen-16B-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 "Salesforce/codegen-16B-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": "Salesforce/codegen-16B-mono",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Salesforce/codegen-16B-mono with Docker Model Runner:
```
docker model run hf.co/Salesforce/codegen-16B-mono
```

rooa commited on Jun 23, 2022

Commit

f47f1cf

1 Parent(s): a75d5e5

Rename mask weights following the new model class

Browse files

Files changed (2) hide show

config.json +2 -1
pytorch_model.bin +2 -2

config.json CHANGED Viewed

@@ -33,9 +33,10 @@
       "temperature": 1.0
     }
   },
   "tokenizer_class": "GPT2Tokenizer",
   "torch_dtype": "float16",
-  "transformers_version": "4.16.2",
   "use_cache": true,
   "vocab_size": 51200
 }

       "temperature": 1.0
     }
   },
+  "tie_word_embeddings": false,
   "tokenizer_class": "GPT2Tokenizer",
   "torch_dtype": "float16",
+  "transformers_version": "4.21.0.dev0",
   "use_cache": true,
   "vocab_size": 51200
 }

pytorch_model.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b2ce6b3a33467df547d43a37530576fb2284f28fe5596a3df7285fd6edcddcc7
-size 32068620363

 version https://git-lfs.github.com/spec/v1
+oid sha256:719bed948d6f70bc800e1d27ceb81f48db9e6508affb130472db28b26e8d834b
+size 32207017423