Automatic Speech Recognition
Transformers
Safetensors
GGUF
grt_asr
text-generation
grt
asr
speech-to-text
audio
rotational-transformer
givens-rotations
clifford-algebra
sophia-torus
matterwave
Instructions to use MatterWaveAI/grt-30m-asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MatterWaveAI/grt-30m-asr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MatterWaveAI/grt-30m-asr")# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("MatterWaveAI/grt-30m-asr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use MatterWaveAI/grt-30m-asr 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 MatterWaveAI/grt-30m-asr:F16 # Run inference directly in the terminal: llama cli -hf MatterWaveAI/grt-30m-asr:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf MatterWaveAI/grt-30m-asr:F16 # Run inference directly in the terminal: llama cli -hf MatterWaveAI/grt-30m-asr:F16
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf MatterWaveAI/grt-30m-asr:F16 # Run inference directly in the terminal: ./build/bin/llama cli -hf MatterWaveAI/grt-30m-asr:F16
Use Docker
docker model run hf.co/MatterWaveAI/grt-30m-asr:F16
- Llama new
- LM Studio
- Jan
- Ollama
How to use MatterWaveAI/grt-30m-asr with Ollama:
ollama run hf.co/MatterWaveAI/grt-30m-asr:F16
- Unsloth Desktop
- Docker Model Runner
How to use MatterWaveAI/grt-30m-asr with Docker Model Runner:
docker model run hf.co/MatterWaveAI/grt-30m-asr:F16
- Lemonade
How to use MatterWaveAI/grt-30m-asr with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull MatterWaveAI/grt-30m-asr:F16
Run and chat with the model
lemonade run user.grt-30m-asr-F16
List all available models
lemonade list
- Atomic Chat
Download tokenizer.json from MatterWaveAI/grt-30m-asr: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/MatterWaveAI/grt-30m-asr/resolve/main/tokenizer.json
- Command line
-
hf download hf://MatterWaveAI/grt-30m-asr/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/MatterWaveAI/grt-30m-asr/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- dde3c5a4d468da6fe61f11ffa8f04af2d101f8f4a0fe118c37bd31bb8c3017b6
- Size of remote file:
- 11.4 MB
- SHA256:
- be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
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