Instructions to use dap305/whisper-smallen-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dap305/whisper-smallen-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="dap305/whisper-smallen-es")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("dap305/whisper-smallen-es") model = AutoModelForSpeechSeq2Seq.from_pretrained("dap305/whisper-smallen-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
license: mit
datasets:
- mozilla-foundation/common_voice_11_0
language:
- es
metrics:
- wer
library_name: transformers
pipeline_tag: automatic-speech-recognition
tags:
- MIARFID
- UPV
- RAH