Text Generation
Transformers
Safetensors
multilingual
qwen2
conversational
text-generation-inference
🇪🇺 Region: EU
Instructions to use jinaai/reader-lm-1.5b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jinaai/reader-lm-1.5b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="jinaai/reader-lm-1.5b") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("jinaai/reader-lm-1.5b") model = AutoModelForCausalLM.from_pretrained("jinaai/reader-lm-1.5b") 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=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use jinaai/reader-lm-1.5b with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "jinaai/reader-lm-1.5b" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "jinaai/reader-lm-1.5b", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/jinaai/reader-lm-1.5b
- SGLang
How to use jinaai/reader-lm-1.5b 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 "jinaai/reader-lm-1.5b" \ --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": "jinaai/reader-lm-1.5b", "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 "jinaai/reader-lm-1.5b" \ --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": "jinaai/reader-lm-1.5b", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use jinaai/reader-lm-1.5b with Docker Model Runner:
docker model run hf.co/jinaai/reader-lm-1.5b
The model is writing out comments in this example
#8
by MarkWard0110 - opened
<!DOCTYPE html>
<html>
<head>
<title>Hello World</title>
</head>
<body>
<h1>Hello World!</h1> <!-- This is the text in the page, this will be displayed -->
<p>This is a paragraph of text.</p> <!-- This will be displayed below h1 -->
</body>
</html>
Examples of the output
Hello World!
------------
This is the text in the page, this will be displayed
This is a paragraph of text.
This will be displayed below h1 \
Hello World!
-------------
This is a paragraph of text.
This will be displayed below h1 \--
This
is a
paragraph
of
text.
This is displayed below
h1
Another example
<html>
<body>
<h3>Why is the sky blue?</h3>
<!-- the following will show up as a paragraph -->
<p>The sky appears blue because of the way light from the sun is reflected by the atmosphere. The atmosphere is made up of gases, including nitrogen and oxygen, which scatter light in all directions. This scattering causes the sunlight to appear as a rainbow of colors, with red light scattered more than other colors.
</p> <!-- a paragraph about rainbows -->
</body>
</html>
### Why is the sky blue?
The sky appears blue because of the way light from the sun is reflected by the atmosphere. The atmosphere is made up of gases, including nitrogen and oxygen, which scatter light in all directions. This scattering causes the sunlight to appear as a rainbow of colors, with red light scattered more than other colors.
<!-- a paragraph about rainbows -->