Instructions to use ContaAI/ContaLLM-Food-Beverage-8B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ContaAI/ContaLLM-Food-Beverage-8B-Instruct with Transformers:

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

pipe = pipeline("text-generation", model="ContaAI/ContaLLM-Food-Beverage-8B-Instruct")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("ContaAI/ContaLLM-Food-Beverage-8B-Instruct")
model = AutoModelForCausalLM.from_pretrained("ContaAI/ContaLLM-Food-Beverage-8B-Instruct")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use ContaAI/ContaLLM-Food-Beverage-8B-Instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "ContaAI/ContaLLM-Food-Beverage-8B-Instruct"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ContaAI/ContaLLM-Food-Beverage-8B-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/ContaAI/ContaLLM-Food-Beverage-8B-Instruct

SGLang

How to use ContaAI/ContaLLM-Food-Beverage-8B-Instruct 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 "ContaAI/ContaLLM-Food-Beverage-8B-Instruct" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ContaAI/ContaLLM-Food-Beverage-8B-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

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 "ContaAI/ContaLLM-Food-Beverage-8B-Instruct" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "ContaAI/ContaLLM-Food-Beverage-8B-Instruct",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use ContaAI/ContaLLM-Food-Beverage-8B-Instruct with Docker Model Runner:
```
docker model run hf.co/ContaAI/ContaLLM-Food-Beverage-8B-Instruct
```

Tonya77 commited on Dec 19, 2024

Commit

03a2db1

verified ·

1 Parent(s): cee3fe3

Upload README.md

Browse files

Files changed (1) hide show

README.md +3 -3

README.md CHANGED Viewed

@@ -20,7 +20,7 @@ library_name: transformers
 # ContaLLM-Beauty-8B-Instruct
-ContaLLM-Food-Beverage-8B-Instruct is a large Chinese vertical marketing model for the food and beverage industry. You can customize and generate marketing texts according to users' specific marketing needs, product selection, product selection knowledge base, keywords, main push selling points, main push scenes, hashtags, article types, etc. Use the LLM's capabilities and training on existing high-quality marketing materials to help companies generate diversified, high-quality marketing content and improve marketing conversion rates.
 ## Model description
@@ -67,8 +67,8 @@ Users can enter the required marketing needs according to their own needs, non-r
 | **选品知识库**          | required              | Fill in your product selection knowledge base, cannot be blank                                                 |
 | **关键词**           | optional              | Fill in your marketing keywords, or remove this row from the prompt                                  |
 | **标签**            | optional              | Fill in the hashtag, or remove this row from the prompt                                              |
-| **主推卖点**          | optional              | Fill in the main push selling points, or remove this row from the prompt |
-| **主推场景**            | optional              | Fill in the main push scenes, or remove this row from the prompt                                  |
 | **文章类型**          | optional              | Fill in the article type, or remove this row from the prompt          |
 Example:

 # ContaLLM-Beauty-8B-Instruct
+ContaLLM-Food-Beverage-8B-Instruct is a large Chinese vertical marketing model for the food and beverage industry. You can customize and generate marketing texts according to users' specific marketing needs, product selection, product selection knowledge base, keywords, main recommended selling points, main recommended scenes, hashtags, article types, etc. Use the LLM's capabilities and training on existing high-quality marketing materials to help companies generate diversified, high-quality marketing content and improve marketing conversion rates.
 ## Model description
 | **选品知识库**          | required              | Fill in your product selection knowledge base, cannot be blank                                                 |
 | **关键词**           | optional              | Fill in your marketing keywords, or remove this row from the prompt                                  |
 | **标签**            | optional              | Fill in the hashtag, or remove this row from the prompt                                              |
+| **主推卖点**          | optional              | Fill in the main recommended selling points, or remove this row from the prompt |
+| **主推场景**            | optional              | Fill in the main recommended scenes, or remove this row from the prompt                                  |
 | **文章类型**          | optional              | Fill in the article type, or remove this row from the prompt          |
 Example: