Instructions to use Kukedlc/NeuralStock-7B-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Kukedlc/NeuralStock-7B-v2 with Transformers:

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

pipe = pipeline("text-generation", model="Kukedlc/NeuralStock-7B-v2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Kukedlc/NeuralStock-7B-v2")
model = AutoModelForCausalLM.from_pretrained("Kukedlc/NeuralStock-7B-v2", device_map="auto")
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 Kukedlc/NeuralStock-7B-v2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Kukedlc/NeuralStock-7B-v2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Kukedlc/NeuralStock-7B-v2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Kukedlc/NeuralStock-7B-v2

SGLang

How to use Kukedlc/NeuralStock-7B-v2 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 "Kukedlc/NeuralStock-7B-v2" \
    --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": "Kukedlc/NeuralStock-7B-v2",
		"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 "Kukedlc/NeuralStock-7B-v2" \
        --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": "Kukedlc/NeuralStock-7B-v2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Kukedlc/NeuralStock-7B-v2 with Docker Model Runner:
```
docker model run hf.co/Kukedlc/NeuralStock-7B-v2
```

NeuralStock-7B-v2 / sample_data /anscombe.json

Kukedlc

Upload folder using huggingface_hub

14d59de verified over 2 years ago

Raw

History Blame Contribute Delete

1.7 kB

	[
	{"Series":"I", "X":10.0, "Y":8.04},
	{"Series":"I", "X":8.0, "Y":6.95},
	{"Series":"I", "X":13.0, "Y":7.58},
	{"Series":"I", "X":9.0, "Y":8.81},
	{"Series":"I", "X":11.0, "Y":8.33},
	{"Series":"I", "X":14.0, "Y":9.96},
	{"Series":"I", "X":6.0, "Y":7.24},
	{"Series":"I", "X":4.0, "Y":4.26},
	{"Series":"I", "X":12.0, "Y":10.84},
	{"Series":"I", "X":7.0, "Y":4.81},
	{"Series":"I", "X":5.0, "Y":5.68},

	{"Series":"II", "X":10.0, "Y":9.14},
	{"Series":"II", "X":8.0, "Y":8.14},
	{"Series":"II", "X":13.0, "Y":8.74},
	{"Series":"II", "X":9.0, "Y":8.77},
	{"Series":"II", "X":11.0, "Y":9.26},
	{"Series":"II", "X":14.0, "Y":8.10},
	{"Series":"II", "X":6.0, "Y":6.13},
	{"Series":"II", "X":4.0, "Y":3.10},
	{"Series":"II", "X":12.0, "Y":9.13},
	{"Series":"II", "X":7.0, "Y":7.26},
	{"Series":"II", "X":5.0, "Y":4.74},

	{"Series":"III", "X":10.0, "Y":7.46},
	{"Series":"III", "X":8.0, "Y":6.77},
	{"Series":"III", "X":13.0, "Y":12.74},
	{"Series":"III", "X":9.0, "Y":7.11},
	{"Series":"III", "X":11.0, "Y":7.81},
	{"Series":"III", "X":14.0, "Y":8.84},
	{"Series":"III", "X":6.0, "Y":6.08},
	{"Series":"III", "X":4.0, "Y":5.39},
	{"Series":"III", "X":12.0, "Y":8.15},
	{"Series":"III", "X":7.0, "Y":6.42},
	{"Series":"III", "X":5.0, "Y":5.73},

	{"Series":"IV", "X":8.0, "Y":6.58},
	{"Series":"IV", "X":8.0, "Y":5.76},
	{"Series":"IV", "X":8.0, "Y":7.71},
	{"Series":"IV", "X":8.0, "Y":8.84},
	{"Series":"IV", "X":8.0, "Y":8.47},
	{"Series":"IV", "X":8.0, "Y":7.04},
	{"Series":"IV", "X":8.0, "Y":5.25},
	{"Series":"IV", "X":19.0, "Y":12.50},
	{"Series":"IV", "X":8.0, "Y":5.56},
	{"Series":"IV", "X":8.0, "Y":7.91},
	{"Series":"IV", "X":8.0, "Y":6.89}
	]