Instructions to use Raiff1982/Codette3.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raiff1982/Codette3.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Raiff1982/Codette3.0")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Raiff1982/Codette3.0", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use Raiff1982/Codette3.0 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Raiff1982/Codette3.0" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Raiff1982/Codette3.0", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Raiff1982/Codette3.0
- SGLang
How to use Raiff1982/Codette3.0 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 "Raiff1982/Codette3.0" \ --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": "Raiff1982/Codette3.0", "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 "Raiff1982/Codette3.0" \ --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": "Raiff1982/Codette3.0", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use Raiff1982/Codette3.0 with Docker Model Runner:
docker model run hf.co/Raiff1982/Codette3.0
Gated model You can list files but not access them
Preview of files found in this repository
- Codette_Deep_Simulation_v1_Full
- Codette_Quantum_FFT_Test_Package
- Codette_Quantum_Harmonic_Framework
- Codette_Unique_Research_Artifacts
- codette_qsync
- 2.16 kB
- 201 kB xet
- 174 kB xet
- 174 kB xet
- 899 Bytes
- 231 kB xet
- 173 kB xet
- 37.4 kB
- 2.75 kB
- 190 kB xet
- 190 kB xet
- 819 Bytes
- 182 kB xet
- 471 kB xet
- 5.61 MB xet
- 92.8 kB
- 748 Bytes
- 1.77 kB
- 252 kB xet
- 2.03 kB
- 37.9 kB
- 38.3 kB
- 124 Bytes
- 87 Bytes
- 620 Bytes
- 3.24 kB
- 3.98 kB
- 4.93 kB
- 2.19 kB
- 1.11 kB
- 495 Bytes
- 4.89 kB
- 2.32 kB
- 50.5 kB
- 2.43 MB
- 16.4 kB
- 187 kB
- 17.8 kB
- 21.6 kB
- 17.8 kB