Automatic Speech Recognition
Transformers
Safetensors
Twi
Akan
English
whisper
akan
ghana
ghana-health-ai
serendepify
twi
Eval Results (legacy)
Instructions to use teckedd/gha-whisper-small-twi-en-balanced-v7-lite with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use teckedd/gha-whisper-small-twi-en-balanced-v7-lite with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="teckedd/gha-whisper-small-twi-en-balanced-v7-lite")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("teckedd/gha-whisper-small-twi-en-balanced-v7-lite") model = AutoModelForSpeechSeq2Seq.from_pretrained("teckedd/gha-whisper-small-twi-en-balanced-v7-lite", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 02b32cd8e2f28c2ae4319521a64adf83b2495a37a4635b63169f1083343df369
- Size of remote file:
- 967 MB
- SHA256:
- 6193a6e2b5686d2a91d3f4739e56e687d5b244f20538bf7e2b3b4228b7d18879
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