Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use mmcgovern574/whisper-tiny-dv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mmcgovern574/whisper-tiny-dv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mmcgovern574/whisper-tiny-dv")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mmcgovern574/whisper-tiny-dv") model = AutoModelForSpeechSeq2Seq.from_pretrained("mmcgovern574/whisper-tiny-dv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from mmcgovern574/whisper-tiny-dv: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/mmcgovern574/whisper-tiny-dv/resolve/main/training_args.bin
- Command line
-
hf download hf://mmcgovern574/whisper-tiny-dv/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mmcgovern574/whisper-tiny-dv/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 97f778dc880a8851a48955cd814b397b0f3265edf7cfcbed6a92d2139005fc29
- Size of remote file:
- 5.05 kB
- SHA256:
- e8ec13fb49e8d70dda18b8344e1fa8b3944058dbf7f59c32ce81dbc4b62b3c8f
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