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
- Xet hash:
- c26a92d4ca03b82c9121b91d0a7f63b744be2888fa0bd0756909059f1b0b6923
- Size of remote file:
- 4.73 kB
- SHA256:
- dad98ea89226dc0cc5116fe4da8d1d6a8fe36ca6c918e9b73139483ca36b6bac
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