Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use model-man/whisper-tiny-dv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use model-man/whisper-tiny-dv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="model-man/whisper-tiny-dv")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("model-man/whisper-tiny-dv") model = AutoModelForSpeechSeq2Seq.from_pretrained("model-man/whisper-tiny-dv", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from model-man/whisper-tiny-dv: direct link, hf CLI and curl.
- Browser
- Download file 151 MB
-
https://huggingface.co/model-man/whisper-tiny-dv/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://model-man/whisper-tiny-dv/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/model-man/whisper-tiny-dv/resolve/main/pytorch_model.bin
151 MB
- Xet hash:
- 95bfd83612cc6184a24e2b57827c50263d7d21000f1cf26f57e7e31f8d37520e
- Size of remote file:
- 151 MB
- SHA256:
- 5b07f20a7497a1190227fde4c4843e29f910801a8fab0831ab1b3a624c5e8c59
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