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 Settings

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
```

Santiago Hincapie-Potes commited on Jun 22, 2022

Commit

de0afa3

1 Parent(s): 249d3f7

fix: model weights

Browse files

Files changed (2) hide show

config.json +6 -16
pytorch_model.bin +2 -2

config.json CHANGED Viewed

@@ -1,15 +1,9 @@
 {
-  "_name_or_path": "codegen-350M-mono/pytorch_model.bin",
   "activation_function": "gelu_new",
   "architectures": [
     "CodeGenForCausalLM"
   ],
   "attn_pdrop": 0.0,
-  "auto_map": {
-    "AutoConfig": "configuration_codegen.CodeGenConfig",
-    "AutoModel": "modelling_codegen.CodeGenModel",
-    "AutoModelForCausalLM": "modelling_codegen.CodeGenForCausalLM"
-  },
   "bos_token_id": 1,
   "embd_pdrop": 0.0,
   "eos_token_id": 2,
@@ -17,30 +11,26 @@
   "initializer_range": 0.02,
   "layer_norm_epsilon": 1e-05,
   "model_type": "codegen",
-  "n_ctx": 2048,
   "n_embd": 1024,
   "n_head": 16,
-  "n_inner": null,
   "n_layer": 20,
   "n_positions": 2048,
-  "resid_pdrop": 0.0,
   "rotary_dim": 32,
-  "scale_attn_weights": true,
   "summary_activation": null,
   "summary_first_dropout": 0.1,
   "summary_proj_to_labels": true,
   "summary_type": "cls_index",
   "summary_use_proj": true,
   "task_specific_params": {
     "text-generation": {
       "do_sample": true,
-      "max_length": 50,
-      "temperature": 1.0
     }
   },
-  "tokenizer_class": "GPT2Tokenizer",
-  "torch_dtype": "float32",
-  "transformers_version": "4.17.0",
   "use_cache": true,
   "vocab_size": 51200
-}

 {
   "activation_function": "gelu_new",
   "architectures": [
     "CodeGenForCausalLM"
   ],
   "attn_pdrop": 0.0,
   "bos_token_id": 1,
   "embd_pdrop": 0.0,
   "eos_token_id": 2,
   "initializer_range": 0.02,
   "layer_norm_epsilon": 1e-05,
   "model_type": "codegen",
   "n_embd": 1024,
   "n_head": 16,
   "n_layer": 20,
   "n_positions": 2048,
   "rotary_dim": 32,
   "summary_activation": null,
   "summary_first_dropout": 0.1,
   "summary_proj_to_labels": true,
   "summary_type": "cls_index",
   "summary_use_proj": true,
+  "transformers_version": "4.10.0.dev0",
+  "tokenizer_class": "GPT2Tokenizer",
   "task_specific_params": {
     "text-generation": {
       "do_sample": true,
+      "temperature": 1.0,
+      "max_length": 50
     }
   },
+  "torch_dtype": "float16",
   "use_cache": true,
   "vocab_size": 51200
+}

pytorch_model.bin CHANGED Viewed

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