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
```

Premchandyadav369 commited on 7 days ago

Commit

cbdafb5

1 Parent(s): 3a04f57

docs: add live Hugging Face Space badge to model README

Browse files

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README.md +2 -1

README.md CHANGED Viewed

@@ -26,7 +26,8 @@ pipeline_tag: text-generation
 # Q-TensorFormer: Information-Value-Driven Adaptive Tensor-Network Transformer for Constrained & Edge Inference
 [![Documentation](https://img.shields.io/badge/Docs-premchan369.github.io%2FQ--TensorFormer-blue)](https://premchan369.github.io/Q-TensorFormer/)
-[![Hugging Face Hub](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Premchan369%2FQ--TensorFormer-yellow)](https://huggingface.co/Premchan369/Q-TensorFormer)
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Premchan369/Q-TensorFormer/blob/main/notebooks/quickstart.ipynb)
 [![License: Apache 2.0](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
 [![PyTorch 2.10+](https://img.shields.io/badge/PyTorch-2.10%2B-EE4C2C.svg)](https://pytorch.org/)

 # Q-TensorFormer: Information-Value-Driven Adaptive Tensor-Network Transformer for Constrained & Edge Inference
 [![Documentation](https://img.shields.io/badge/Docs-premchan369.github.io%2FQ--TensorFormer-blue)](https://premchan369.github.io/Q-TensorFormer/)
+[![Hugging Face Hub](https://img.shields.io/badge/%F0%9F%A4%97%20Model%20Hub-Premchan369%2FQ--TensorFormer-yellow)](https://huggingface.co/Premchan369/Q-TensorFormer)
+[![Live Space](https://img.shields.io/badge/%F0%9F%A4%97%20Live%20Space-Premchan369%2FQ--TensorFormer-brightgreen)](https://huggingface.co/spaces/Premchan369/Q-TensorFormer)
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Premchan369/Q-TensorFormer/blob/main/notebooks/quickstart.ipynb)
 [![License: Apache 2.0](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
 [![PyTorch 2.10+](https://img.shields.io/badge/PyTorch-2.10%2B-EE4C2C.svg)](https://pytorch.org/)