Instructions to use GGarri/hmi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GGarri/hmi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GGarri/hmi")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("GGarri/hmi") model = AutoModelForSpeechSeq2Seq.from_pretrained("GGarri/hmi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download token from GGarri/hmi: direct link, hf CLI and curl.
- Browser
- Download file 37 Bytes
-
https://huggingface.co/GGarri/hmi/resolve/main/token
- Command line
-
hf download hf://GGarri/hmi/token
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curl -L -o token https://huggingface.co/GGarri/hmi/resolve/main/token
37 Bytes
| 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 |