Instructions to use lowdown-labs/fela-autocomplete with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lowdown-labs/fela-autocomplete with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="lowdown-labs/fela-autocomplete", trust_remote_code=True)# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("lowdown-labs/fela-autocomplete", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use lowdown-labs/fela-autocomplete with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "lowdown-labs/fela-autocomplete" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "lowdown-labs/fela-autocomplete", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/lowdown-labs/fela-autocomplete
- SGLang
How to use lowdown-labs/fela-autocomplete 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 "lowdown-labs/fela-autocomplete" \ --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": "lowdown-labs/fela-autocomplete", "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 "lowdown-labs/fela-autocomplete" \ --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": "lowdown-labs/fela-autocomplete", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use lowdown-labs/fela-autocomplete with Docker Model Runner:
docker model run hf.co/lowdown-labs/fela-autocomplete
title: FELA LLM 1.5 code completion
colorFrom: indigo
colorTo: purple
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
license: other
FELA LLM 1.5 code completion
Type the code before your cursor (Prefix) and optionally the code after it (Suffix), and the model writes the line that goes in between. It runs on a plain CPU with no GPU.
How it works
The model reads your prefix and suffix, and when the suffix is present it uses the fill in the middle layout so the completion fits between them. It writes one line at a time, greedy by default, so the same prompt gives the same real output every time.
What to expect
This is the final fill in the middle model. Single line patterns land well (imports, obvious returns, boilerplate); multi line blocks and novel logic are outside what it is built for. Every completion is a genuine forward of the model, never a lookup. For fast production serving the same weights run int8 on the CPU native FELA server.