Instructions to use xemha125/Rx_Codex_V1_Tiny_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use xemha125/Rx_Codex_V1_Tiny_test with Transformers:

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

pipe = pipeline("text-generation", model="xemha125/Rx_Codex_V1_Tiny_test")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("xemha125/Rx_Codex_V1_Tiny_test")
model = AutoModelForCausalLM.from_pretrained("xemha125/Rx_Codex_V1_Tiny_test")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use xemha125/Rx_Codex_V1_Tiny_test with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "xemha125/Rx_Codex_V1_Tiny_test"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "xemha125/Rx_Codex_V1_Tiny_test",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/xemha125/Rx_Codex_V1_Tiny_test

SGLang

How to use xemha125/Rx_Codex_V1_Tiny_test 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 "xemha125/Rx_Codex_V1_Tiny_test" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "xemha125/Rx_Codex_V1_Tiny_test",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "xemha125/Rx_Codex_V1_Tiny_test" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "xemha125/Rx_Codex_V1_Tiny_test",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use xemha125/Rx_Codex_V1_Tiny_test with Docker Model Runner:
```
docker model run hf.co/xemha125/Rx_Codex_V1_Tiny_test
```

Rx_Codex_V1_Tiny_test

Commit History

Upload tokenizer

b1dcbb0
verified

Rx MHA commited on Aug 15, 2025

Upload model

da5ce8d
verified

Rx MHA commited on Aug 15, 2025

initial commit

626827c
verified

Rx MHA commited on Aug 15, 2025

Commit History

Upload tokenizer b1dcbb0 verified

Upload model da5ce8d verified

initial commit 626827c verified

Upload tokenizer

b1dcbb0
verified

Upload model

da5ce8d
verified

initial commit

626827c
verified