Instructions to use Premchan369/Q-TensorFormer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Premchan369/Q-TensorFormer with Transformers:

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

pipe = pipeline("text-generation", model="Premchan369/Q-TensorFormer", trust_remote_code=True)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("Premchan369/Q-TensorFormer", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Premchan369/Q-TensorFormer with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Premchan369/Q-TensorFormer"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Premchan369/Q-TensorFormer",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Premchan369/Q-TensorFormer

SGLang

How to use Premchan369/Q-TensorFormer 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 "Premchan369/Q-TensorFormer" \
    --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": "Premchan369/Q-TensorFormer",
		"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 "Premchan369/Q-TensorFormer" \
        --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": "Premchan369/Q-TensorFormer",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Premchan369/Q-TensorFormer with Docker Model Runner:
```
docker model run hf.co/Premchan369/Q-TensorFormer
```

Premchan369 commited on 2 days ago

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@@ -79,7 +79,7 @@ widget:
 **Authors:**
 - **Dr. Madala Guru Brahmam**, Assistant Professor, School of Computer Science and Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, India (`gurubrahmam.m@vitap.ac.in`)
-- **V C Premchand Yadav**, Final Year B.Tech Student in Computer Science and Engineering (AI & ML), School of Computer Science and Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, India (`premchand.21bce9876@vitap.ac.in`)
 [![Download Camera-Ready Paper PDF](https://img.shields.io/badge/%F0%9F%93%84%20Download%20Paper-IEEE%206--Page%20PDF-red?style=for-the-badge)](https://huggingface.co/Premchan369/Q-TensorFormer/resolve/main/paper/q_tensorformer_ieee_paper.pdf)
 [![Hugging Face Hub](https://img.shields.io/badge/%F0%9F%A4%97%20Model%20Hub-Premchan369%2FQ--TensorFormer-yellow?style=for-the-badge)](https://huggingface.co/Premchan369/Q-TensorFormer)

 **Authors:**
 - **Dr. Madala Guru Brahmam**, Assistant Professor, School of Computer Science and Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, India (`gurubrahmam.m@vitap.ac.in`)
+- **V C Premchand Yadav**, Final Year B.Tech Student in Computer Science and Engineering (AI & ML), School of Computer Science and Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, India (`premchand.23bce7167@vitap.ac.in`)
 [![Download Camera-Ready Paper PDF](https://img.shields.io/badge/%F0%9F%93%84%20Download%20Paper-IEEE%206--Page%20PDF-red?style=for-the-badge)](https://huggingface.co/Premchan369/Q-TensorFormer/resolve/main/paper/q_tensorformer_ieee_paper.pdf)
 [![Hugging Face Hub](https://img.shields.io/badge/%F0%9F%A4%97%20Model%20Hub-Premchan369%2FQ--TensorFormer-yellow?style=for-the-badge)](https://huggingface.co/Premchan369/Q-TensorFormer)