Text Generation
Transformers
PyTorch
code
gpt2
custom_code
Eval Results (legacy)
text-generation-inference
Instructions to use bigcode/santacoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bigcode/santacoder with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="bigcode/santacoder", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("bigcode/santacoder", trust_remote_code=True) model = AutoModelForCausalLM.from_pretrained("bigcode/santacoder", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps
- vLLM
How to use bigcode/santacoder with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "bigcode/santacoder" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "bigcode/santacoder", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/bigcode/santacoder
- SGLang
How to use bigcode/santacoder 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 "bigcode/santacoder" \ --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": "bigcode/santacoder", "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 "bigcode/santacoder" \ --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": "bigcode/santacoder", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use bigcode/santacoder with Docker Model Runner:
docker model run hf.co/bigcode/santacoder
Saving and loading bigcode/santacoder model on a mac results in "ModuleNotFoundError: No module named 'transformers_modules'
#29
by kanandk - opened
Code:
from transformers import AutoModelForCausalLM, AutoTokenizer, AutoModel
import torch
model = torch.load("./tmp/gptj.pt")
model.eval()
tokenizer = AutoTokenizer.from_pretrained("./tmp")
device = "cpu"
inputs = tokenizer.encode("function helloWorld():", return_tensors="pt").to(device)
outputs = model.generate(inputs)
print(tokenizer.decode(outputs[0]))
Transformers version : 4.28.1
Torch version : 2.0.0
Python : 3.9.15
Mac M1 with OSX
Could you please share the stack trace.