Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Twi
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use Raydox10/Raydox11-whisper-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Raydox10/Raydox11-whisper-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Raydox10/Raydox11-whisper-small")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Raydox10/Raydox11-whisper-small") model = AutoModelForSpeechSeq2Seq.from_pretrained("Raydox10/Raydox11-whisper-small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08ef4fbd3f780f2aa648f2551cd5f427ab16e811a4b3bd2451c9821fddd507b9
- Size of remote file:
- 5.37 kB
- SHA256:
- e8fe0789d9506fd9d5884e936c5e6f9e50ff8e7347a13e687a4984156584bcc2
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