Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Spanish
whisper
whisper-event
Generated from Trainer
Instructions to use herme/whisper-tiny-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use herme/whisper-tiny-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="herme/whisper-tiny-es")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("herme/whisper-tiny-es") model = AutoModelForSpeechSeq2Seq.from_pretrained("herme/whisper-tiny-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from herme/whisper-tiny-es: direct link, hf CLI and curl.
- Browser
- Download file 151 MB
-
https://huggingface.co/herme/whisper-tiny-es/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://herme/whisper-tiny-es/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/herme/whisper-tiny-es/resolve/main/pytorch_model.bin
151 MB
- Xet hash:
- 5cd50254bc48375c942c09c6d317d539e39b6c89a8c38ad90aa84099824a3b2c
- Size of remote file:
- 151 MB
- SHA256:
- bff717efc577ac3e0cc193ee2b63e76851d9eb35b83f187ddfaf12d988251924
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