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 model.safetensors from mmcgovern574/whisper-tiny-dv: direct link, hf CLI and curl.
- Browser
- Download file 151 MB
-
https://huggingface.co/mmcgovern574/whisper-tiny-dv/resolve/main/model.safetensors
- Command line
-
hf download hf://mmcgovern574/whisper-tiny-dv/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/mmcgovern574/whisper-tiny-dv/resolve/main/model.safetensors
151 MB
- Xet hash:
- 36bfa2645c6c96b79eb43ce7456688147b7332744542a64f01750423b6607f46
- Size of remote file:
- 151 MB
- SHA256:
- afbfddceccffb639d04186b72c309f3bf286b82e1ab04755ac7f21b6373f6492
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