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 training_args.bin from herme/whisper-tiny-es: direct link, hf CLI and curl.
- Browser
- Download file 4.09 kB
-
https://huggingface.co/herme/whisper-tiny-es/resolve/main/training_args.bin
- Command line
-
hf download hf://herme/whisper-tiny-es/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/herme/whisper-tiny-es/resolve/main/training_args.bin
4.09 kB
- Xet hash:
- 17f901b36eea03ae4cc3bfc76bb836d6ac87279a7bfcbd73ffe04e041f2404f9
- Size of remote file:
- 4.09 kB
- SHA256:
- db76156e54d7fa4967e4ad520b8538c42e9867ff96412eecfff0d89dc65efcdb
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