Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Divehi
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use vonewman/whisper-small-dv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vonewman/whisper-small-dv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="vonewman/whisper-small-dv")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("vonewman/whisper-small-dv") model = AutoModelForSpeechSeq2Seq.from_pretrained("vonewman/whisper-small-dv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from vonewman/whisper-small-dv: direct link, hf CLI and curl.
- Browser
- Download file 5.24 kB
-
https://huggingface.co/vonewman/whisper-small-dv/resolve/main/training_args.bin
- Command line
-
hf download hf://vonewman/whisper-small-dv/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/vonewman/whisper-small-dv/resolve/main/training_args.bin
5.24 kB
- Xet hash:
- 14d8db9817d291a54c15843bf015378b391156dd536b882a5b41c042a06347cd
- Size of remote file:
- 5.24 kB
- SHA256:
- ee024870ed23082c358745b8ffbff2f37729767246b886e7a2999f99dd720b21
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