Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Spanish
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use deepdml/whisper-medium-mix-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepdml/whisper-medium-mix-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="deepdml/whisper-medium-mix-es")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("deepdml/whisper-medium-mix-es") model = AutoModelForSpeechSeq2Seq.from_pretrained("deepdml/whisper-medium-mix-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from deepdml/whisper-medium-mix-es: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/deepdml/whisper-medium-mix-es/resolve/main/training_args.bin
- Command line
-
hf download hf://deepdml/whisper-medium-mix-es/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/deepdml/whisper-medium-mix-es/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- 2327312fe8590fde30a7dabfb88a06ca5a89f61b2f48ee2e5d07cff3125f0bdc
- Size of remote file:
- 3.58 kB
- SHA256:
- a6e6c73158186062490e0af8e9c834cdce56dd51bf0150aeb2cdf8e4100f8c2b
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