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 pytorch_model.bin from deepdml/whisper-medium-mix-es: direct link, hf CLI and curl.
- Browser
- Download file 3.06 GB
-
https://huggingface.co/deepdml/whisper-medium-mix-es/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://deepdml/whisper-medium-mix-es/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/deepdml/whisper-medium-mix-es/resolve/main/pytorch_model.bin
3.06 GB
- Xet hash:
- 4df07db84e0cfcbe51c9d45428a6e8ae5bc0014aedf450ac33cb1f6bce33682c
- Size of remote file:
- 3.06 GB
- SHA256:
- d3ac532d2156804c0a8fed3ac6105d4b9ac613db9a000e5c8482b97f32210d96
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