Instructions to use BohdanPetryshyn/code-llama-openapi-completion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use BohdanPetryshyn/code-llama-openapi-completion with Transformers:

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

pipe = pipeline("text-generation", model="BohdanPetryshyn/code-llama-openapi-completion")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("BohdanPetryshyn/code-llama-openapi-completion")
model = AutoModelForCausalLM.from_pretrained("BohdanPetryshyn/code-llama-openapi-completion", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use BohdanPetryshyn/code-llama-openapi-completion with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/BohdanPetryshyn/code-llama-openapi-completion

SGLang

How to use BohdanPetryshyn/code-llama-openapi-completion 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 "BohdanPetryshyn/code-llama-openapi-completion" \
    --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": "BohdanPetryshyn/code-llama-openapi-completion",
		"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 "BohdanPetryshyn/code-llama-openapi-completion" \
        --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": "BohdanPetryshyn/code-llama-openapi-completion",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use BohdanPetryshyn/code-llama-openapi-completion with Docker Model Runner:
```
docker model run hf.co/BohdanPetryshyn/code-llama-openapi-completion
```

Bohdan Petryshyn commited on Jun 15, 2024

Commit

116a1a9

1 Parent(s): 2f3569f

temporarily remove tokenizer

Browse files

Files changed (4) hide show

special_tokens_map.json +0 -23
tokenizer.json +0 -0
tokenizer.model +0 -3
tokenizer_config.json +0 -34

special_tokens_map.json DELETED Viewed

@@ -1,23 +0,0 @@
-{
-  "bos_token": {
-    "content": "<s>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  },
-  "eos_token": {
-    "content": "</s>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  },
-  "unk_token": {
-    "content": "<unk>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  }
-}

tokenizer.json DELETED Viewed

The diff for this file is too large to render. See raw diff

tokenizer.model DELETED Viewed

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:45ccb9c8b6b561889acea59191d66986d314e7cbd6a78abc6e49b139ca91c1e6
-size 500058

tokenizer_config.json DELETED Viewed

@@ -1,34 +0,0 @@
-{
-  "add_bos_token": true,
-  "add_eos_token": false,
-  "bos_token": {
-    "__type": "AddedToken",
-    "content": "<s>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  },
-  "clean_up_tokenization_spaces": false,
-  "eos_token": {
-    "__type": "AddedToken",
-    "content": "</s>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  },
-  "legacy": null,
-  "model_max_length": 1000000000000000019884624838656,
-  "pad_token": null,
-  "sp_model_kwargs": {},
-  "tokenizer_class": "CodeLlamaTokenizer",
-  "unk_token": {
-    "__type": "AddedToken",
-    "content": "<unk>",
-    "lstrip": false,
-    "normalized": true,
-    "rstrip": false,
-    "single_word": false
-  }
-}