Image-Text-to-Text
Transformers
Safetensors
GGUF
qwen3_5
alpie
169pi
qwen3.5
vision-language
multimodal
reasoning
coding
video-understanding
multilingual
indic
long-context
9b
apache-2.0
conversational
Instructions to use 169Pi/Alpie_seed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 169Pi/Alpie_seed with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="169Pi/Alpie_seed") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("169Pi/Alpie_seed") model = AutoModelForMultimodalLM.from_pretrained("169Pi/Alpie_seed", device_map="auto") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.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(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use 169Pi/Alpie_seed with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "169Pi/Alpie_seed" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "169Pi/Alpie_seed", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/169Pi/Alpie_seed
- SGLang
How to use 169Pi/Alpie_seed 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 "169Pi/Alpie_seed" \ --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": "169Pi/Alpie_seed", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'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 "169Pi/Alpie_seed" \ --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": "169Pi/Alpie_seed", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Docker Model Runner
How to use 169Pi/Alpie_seed with Docker Model Runner:
docker model run hf.co/169Pi/Alpie_seed
Update README.md
Browse files
README.md
CHANGED
|
@@ -43,12 +43,15 @@ tags:
|
|
| 43 |
</p>
|
| 44 |
|
| 45 |
<p>
|
| 46 |
-
<a href="https://github.com/169Pi">GitHub</a>
|
| 47 |
-
<a href="https://www.linkedin.com/company/169pi">LinkedIn</a>
|
| 48 |
-
<a href="https://www.instagram.com/169pi.ai/">Instagram</a>
|
| 49 |
-
<
|
| 50 |
-
|
| 51 |
-
<
|
|
|
|
|
|
|
|
|
|
| 52 |
</p>
|
| 53 |
|
| 54 |
</div>
|
|
|
|
| 43 |
</p>
|
| 44 |
|
| 45 |
<p>
|
| 46 |
+
<a href="https://github.com/169Pi"><img src="https://img.shields.io/badge/💻_GitHub-169Pi-7C3AED?style=for-the-badge&labelColor=1a1a2e" alt="GitHub"></a>
|
| 47 |
+
<a href="https://www.linkedin.com/company/169pi"><img src="https://img.shields.io/badge/💼_LinkedIn-169Pi-7C3AED?style=for-the-badge&labelColor=1a1a2e" alt="LinkedIn"></a>
|
| 48 |
+
<a href="https://www.instagram.com/169pi.ai/"><img src="https://img.shields.io/badge/📸_Instagram-@169pi.ai-7C3AED?style=for-the-badge&labelColor=1a1a2e" alt="Instagram"></a>
|
| 49 |
+
</p>
|
| 50 |
+
|
| 51 |
+
<p>
|
| 52 |
+
<a href="https://www.youtube.com/@169pi"><img src="https://img.shields.io/badge/▶️_YouTube-@169pi-7C3AED?style=for-the-badge&labelColor=1a1a2e" alt="YouTube"></a>
|
| 53 |
+
<a href="https://x.com/169Pi_ai"><img src="https://img.shields.io/badge/𝕏_X-@169Pi__ai-7C3AED?style=for-the-badge&labelColor=1a1a2e" alt="X"></a>
|
| 54 |
+
<a href="https://ollama.com/169pi"><img src="https://img.shields.io/badge/🦙_Ollama-169pi-7C3AED?style=for-the-badge&labelColor=1a1a2e" alt="Ollama"></a>
|
| 55 |
</p>
|
| 56 |
|
| 57 |
</div>
|