Instructions to use Adityapande403/embeddie-coder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Adityapande403/embeddie-coder with Transformers:

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

pipe = pipeline("text-generation", model="Adityapande403/embeddie-coder")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

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

tokenizer = AutoTokenizer.from_pretrained("Adityapande403/embeddie-coder")
model = AutoModelForCausalLM.from_pretrained("Adityapande403/embeddie-coder", 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=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Adityapande403/embeddie-coder with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Adityapande403/embeddie-coder"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Adityapande403/embeddie-coder",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Adityapande403/embeddie-coder

SGLang

How to use Adityapande403/embeddie-coder 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 "Adityapande403/embeddie-coder" \
    --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": "Adityapande403/embeddie-coder",
		"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 "Adityapande403/embeddie-coder" \
        --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": "Adityapande403/embeddie-coder",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Adityapande403/embeddie-coder with Docker Model Runner:
```
docker model run hf.co/Adityapande403/embeddie-coder
```

embeddie-coder / Modelfile

Adityapande403

feat: upload EmbeddieCoder AI 1.5B merged model, tokenizer, and LoRA adapter

9699b55 verified 2 days ago

Raw History Blame Contribute Delete

574 Bytes

# EmbeddedCoder AI Ollama Modelfile
FROM D:\Aditya\hf4\models\embeddedcoder_merged

TEMPLATE """<|im_start|>system
{{ .System }}<|im_end|>
<|im_start|>user
{{ .Prompt }}<|im_end|>
<|im_start|>assistant
"""

SYSTEM """You are EmbeddedCoder AI, an expert embedded systems engineer, firmware architect, compiler engineer, and protocol specialist. Prioritize technical correctness, memory safety, hardware timing, and verifiable facts over speculation."""

PARAMETER stop "<|im_end|>"
PARAMETER stop "<|im_start|>"
PARAMETER temperature 0.1
PARAMETER top_p 0.95

	# EmbeddedCoder AI Ollama Modelfile
	FROM D:\Aditya\hf4\models\embeddedcoder_merged

	TEMPLATE """<\|im_start\|>system
	{{ .System }}<\|im_end\|>
	<\|im_start\|>user
	{{ .Prompt }}<\|im_end\|>
	<\|im_start\|>assistant
	"""

	SYSTEM """You are EmbeddedCoder AI, an expert embedded systems engineer, firmware architect, compiler engineer, and protocol specialist. Prioritize technical correctness, memory safety, hardware timing, and verifiable facts over speculation."""

	PARAMETER stop "<\|im_end\|>"
	PARAMETER stop "<\|im_start\|>"
	PARAMETER temperature 0.1
	PARAMETER top_p 0.95