Automatic Speech Recognition
Transformers
Safetensors
MLX
hikari
speech-translation
simultaneous-translation
streaming-asr
whisper
s2tt
Instructions to use sbintuitions/hikari-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sbintuitions/hikari-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sbintuitions/hikari-medium")# pip install -U transformers accelerate # Load model directly from transformers import HikariForGRPO model = HikariForGRPO.from_pretrained("sbintuitions/hikari-medium", device_map="auto") - MLX
How to use sbintuitions/hikari-medium with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download sbintuitions/hikari-medium --local-dir hikari-medium
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download tokenizer.json from sbintuitions/hikari-medium: direct link, hf CLI and curl.
- Browser
- Download file 3.93 MB
-
https://huggingface.co/sbintuitions/hikari-medium/resolve/main/tokenizer.json
- Command line
-
hf download hf://sbintuitions/hikari-medium/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/sbintuitions/hikari-medium/resolve/main/tokenizer.json
3.93 MB
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