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callgg
/
t5-base-encoder-f32

Safetensors
GGUF
t5
Model card Files
xet
 Community
How to use from
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 callgg/t5-base-encoder-f32:
# Run inference directly in the terminal:
llama cli -hf callgg/t5-base-encoder-f32:
Install from WinGet (Windows) 
winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf callgg/t5-base-encoder-f32:
# Run inference directly in the terminal:
llama cli -hf callgg/t5-base-encoder-f32:
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 callgg/t5-base-encoder-f32:
# Run inference directly in the terminal:
./llama-cli -hf callgg/t5-base-encoder-f32:
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 callgg/t5-base-encoder-f32:
# Run inference directly in the terminal:
./build/bin/llama-cli -hf callgg/t5-base-encoder-f32:
Use Docker 
docker model run hf.co/callgg/t5-base-encoder-f32:
Quick Links

t5-base-encoder (f32)

  • t5-base text encoder for text/audio-to-audio generation
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Model size
0.1B params
Tensor type
F32
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