Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Serbian
whisper
whisper-event
Generated from Trainer
Instructions to use emilios/whisper-md-sr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emilios/whisper-md-sr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="emilios/whisper-md-sr")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("emilios/whisper-md-sr") model = AutoModelForSpeechSeq2Seq.from_pretrained("emilios/whisper-md-sr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from emilios/whisper-md-sr: direct link, hf CLI and curl.
- Browser
- Download file 1.53 GB
-
https://huggingface.co/emilios/whisper-md-sr/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://emilios/whisper-md-sr/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/emilios/whisper-md-sr/resolve/main/pytorch_model.bin
1.53 GB
- Xet hash:
- 39bb48072e271ebbcf32cbb8c8f08b0ba39033ee5f02c07c231c8b0df5d91344
- Size of remote file:
- 1.53 GB
- SHA256:
- b000829ade78793e69af0fadc68b95538513ae14d71c3f04c4d4aa133cab7d5c
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