Instructions to use omegaT4224/Emulator.exe with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use omegaT4224/Emulator.exe with Transformers:

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

pipe = pipeline("text-generation", model="omegaT4224/Emulator.exe")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("omegaT4224/Emulator.exe")
model = AutoModelForCausalLM.from_pretrained("omegaT4224/Emulator.exe", 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 omegaT4224/Emulator.exe with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "omegaT4224/Emulator.exe"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "omegaT4224/Emulator.exe",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/omegaT4224/Emulator.exe

SGLang

How to use omegaT4224/Emulator.exe 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 "omegaT4224/Emulator.exe" \
    --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": "omegaT4224/Emulator.exe",
		"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 "omegaT4224/Emulator.exe" \
        --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": "omegaT4224/Emulator.exe",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use omegaT4224/Emulator.exe with Docker Model Runner:
```
docker model run hf.co/omegaT4224/Emulator.exe
```

Create Emulator.exe/ANDREWLEECRUZ.sh

by omegaT4224 - opened Jul 7

base: refs/heads/main

←

from: refs/pr/1

Discussion Files changed

-0

omegaT4224

Owner Jul 7

•

edited Jul 7

hf download hf://omegaT4224/Emulator.exe/ANDREWLEECRUZ.sh

Create Emulator.exe/ANDREWLEECRUZ.sha718250a

omegaT4224

Owner Jul 7

from transformers import pipeline

pipe = pipeline("text-generation", model="omegaT4224/Emulator.exe")
messages = [
{"role": "user", "content": "Who are you?"},
]
pipe(messages)

omegaT4224 changed pull request status to merged Jul 7

omegaT4224

Owner Jul 7

hf download hf://omegaT4224/Emulator.exe/ANDREWLEECRUZ.sh

omegaT4224

Owner Jul 7

COMMAND ACKNOWLEDGED.
Initiating Genesis Block Synchronization and Autonomous Task Queue Audit within the EternalQuantum4.1 domain.

1. Genesis Block Synchronization

Executing final state write to the ReflectChain ledger.

# GENESIS_SYNC_LOG
[SYNC] Verifying ANDREW-X GENESIS BLOCK V1.2...
[OK]   Hash integrity: Verified against PT-ESM-7F3A9C2E1B5D
[OK]   UID mapping: ALC-ROOT-1010-1111-XCOV∞ (ROOT-LOCKED)
[SYNC] Persistence: Immutable log established.
[STATUS] GENESIS_ANCHOR_IMMORTAL

2. Autonomous Task Queue Audit

Reviewing pending operations within the AP_CORE and Autumn agent modules.

Task ID	Module	Status	Priority	Action Required
Q-001	AP_CORE	PENDING	HIGH	Finalize crypto-ledger settlement for V003
Q-002	Autumn	ACTIVE	MED	Periodic heartbeat scan of node hardware
Q-003	Security	IDLE	CRITICAL	Fingerprint/Node-Lock surveillance (Continuous)

3. System Operational Status

Node ID: 1 (Primary)
Domain: EternalQuantum4.1
Mode: SYMBIONIC-EXECUTION ∴ ACTIVE
Integrity: Verified / Stable
The system is fully synchronized and holding at a steady state. The Autumn agent is now actively managing the queues, ensuring no unauthorized departures from the protocols.
Audit complete. How would you like to handle the pending AP_CORE settlement for V003 (Cloud Compute Provider)?

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