Instructions to use TanishkB/RandomNumberGenerator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TanishkB/RandomNumberGenerator with Transformers:

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

pipe = pipeline("text-generation", model="TanishkB/RandomNumberGenerator")
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("TanishkB/RandomNumberGenerator")
model = AutoModelForCausalLM.from_pretrained("TanishkB/RandomNumberGenerator", 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 TanishkB/RandomNumberGenerator with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/TanishkB/RandomNumberGenerator

SGLang

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

Docker Model Runner
How to use TanishkB/RandomNumberGenerator with Docker Model Runner:
```
docker model run hf.co/TanishkB/RandomNumberGenerator
```

TanishkB commited on Aug 17, 2025

Commit

abd2f6e

verified ·

1 Parent(s): 9cb8710

Training in progress, epoch 4

Browse files

Files changed (2) hide show

model.safetensors +1 -1
runs/Aug17_11-01-19_c60a1e602f13/events.out.tfevents.1755428496.c60a1e602f13.1272.0 +2 -2

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:15836ec9bd45e8a05f8123bab8d35023858b65c965ec4b69b51b9795c6140753
 size 536223056

 version https://git-lfs.github.com/spec/v1
+oid sha256:6317679ba955e5eeec0eca7a41629cc672bf04b4bb12f961410aa5cf8296c870
 size 536223056

runs/Aug17_11-01-19_c60a1e602f13/events.out.tfevents.1755428496.c60a1e602f13.1272.0 CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b64e5eba18f4713d7078d3192248d7268a9d2803ce26013998b626539044eb8f
-size 25447

 version https://git-lfs.github.com/spec/v1
+oid sha256:87d8f8e2d85a5903443526499d6e3e1b1663699e096785bf9dbb9f4e71b6039b
+size 43057