Text Generation
Transformers
PyTorch
English
code
codegen
Diff Model
causal-lm
code-generation
The Pile
Instructions to use CarperAI/diff-codegen-2b-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CarperAI/diff-codegen-2b-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="CarperAI/diff-codegen-2b-v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("CarperAI/diff-codegen-2b-v2") model = AutoModelForCausalLM.from_pretrained("CarperAI/diff-codegen-2b-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use CarperAI/diff-codegen-2b-v2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "CarperAI/diff-codegen-2b-v2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "CarperAI/diff-codegen-2b-v2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/CarperAI/diff-codegen-2b-v2
- SGLang
How to use CarperAI/diff-codegen-2b-v2 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 "CarperAI/diff-codegen-2b-v2" \ --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": "CarperAI/diff-codegen-2b-v2", "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 "CarperAI/diff-codegen-2b-v2" \ --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": "CarperAI/diff-codegen-2b-v2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use CarperAI/diff-codegen-2b-v2 with Docker Model Runner:
docker model run hf.co/CarperAI/diff-codegen-2b-v2
Commit History
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Upload train_results.json (#7)
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Upload trainer_state.json (#8)
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Upload special_tokens_map.json (#9)
- Upload special_tokens_map.json (5f0a7d9444f79d23b96c5667e75411e254e78759)63e34a1 -
Upload tokenizer_config.json (#12)
- Upload tokenizer_config.json (bc607f2c19907ad026893bef831a956f00e8ead4)dd73aa4 -
Upload config.json (#13)
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initial commit
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