Text Generation
Transformers
Safetensors
English
qwen2
Reasoning
React
COT
MachineLearning
DeepLearning
FineTuning
NLP
AIResearch
conversational
text-generation-inference
Instructions to use foduucom/Think-and-Code-React with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use foduucom/Think-and-Code-React with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="foduucom/Think-and-Code-React") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("foduucom/Think-and-Code-React") model = AutoModelForCausalLM.from_pretrained("foduucom/Think-and-Code-React", device_map="auto") 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]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use foduucom/Think-and-Code-React with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "foduucom/Think-and-Code-React" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "foduucom/Think-and-Code-React", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/foduucom/Think-and-Code-React
- SGLang
How to use foduucom/Think-and-Code-React 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 "foduucom/Think-and-Code-React" \ --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": "foduucom/Think-and-Code-React", "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 "foduucom/Think-and-Code-React" \ --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": "foduucom/Think-and-Code-React", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use foduucom/Think-and-Code-React with Docker Model Runner:
docker model run hf.co/foduucom/Think-and-Code-React
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# Think-and-Code-React
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## Table of Contents
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## Introduction
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This is a fine-tuned Qwen model which is designed to provide frontend development solutions with enhanced reasoning capabilities on ReactJS. It can writes code after reasoning task then provide some best prectice after ansering.
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## Problem Statement
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# Think-and-Code-React
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This is a fine-tuned Qwen model which is designed to provide frontend development solutions with enhanced reasoning capabilities on ReactJS. It can writes code after reasoning task then provide some best prectice after ansering.
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## Table of Contents
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1. [Problem Statement](#problem-statement)
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2. [Solution](#solution)
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3. [How It Works](#how-it-works)
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4. [How to Use This Model](#how-to-use-this-model)
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5. [Future Developments](#future-developments)
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6. [License](#license)
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7. [Model Card Contact](#model-card-contact)
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## Problem Statement
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