Summarization
Transformers.js
ONNX
Safetensors
GGUF
English
t5
text2text-generation
title-generation
distillation
tiny-model
edge
Instructions to use Cyronius/titler with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Cyronius/titler with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('summarization', 'Cyronius/titler'); - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use Cyronius/titler with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf Cyronius/titler:F16 # Run inference directly in the terminal: llama cli -hf Cyronius/titler:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Cyronius/titler:F16 # Run inference directly in the terminal: llama cli -hf Cyronius/titler:F16
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf Cyronius/titler:F16 # Run inference directly in the terminal: ./llama-cli -hf Cyronius/titler:F16
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf Cyronius/titler:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Cyronius/titler:F16
Use Docker
docker model run hf.co/Cyronius/titler:F16
- LM Studio
- Jan
- Ollama
How to use Cyronius/titler with Ollama:
ollama run hf.co/Cyronius/titler:F16
- Unsloth Desktop
- Docker Model Runner
How to use Cyronius/titler with Docker Model Runner:
docker model run hf.co/Cyronius/titler:F16
- Lemonade
How to use Cyronius/titler with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Cyronius/titler:F16
Run and chat with the model
lemonade run user.titler-F16
List all available models
lemonade list
- Atomic Chat
Download onnx/encoder_model_quantized.onnx from Cyronius/titler: direct link, hf CLI and curl.
- Browser
- Download file 4.59 MB
-
https://huggingface.co/Cyronius/titler/resolve/main/onnx/encoder_model_quantized.onnx
- Command line
-
hf download hf://Cyronius/titler/onnx/encoder_model_quantized.onnx
-
curl -L -o encoder_model_quantized.onnx https://huggingface.co/Cyronius/titler/resolve/main/onnx/encoder_model_quantized.onnx
4.59 MB
- Xet hash:
- aad48aceea4f90b2244f83d6a5114f2271d83e9af365f1d6598711a0119b60d6
- Size of remote file:
- 4.59 MB
- SHA256:
- 2582de6e27c7fda564c8c96c71c99b1c7e6ea0f1fffe71a425ca2b03a9141f98
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.