Instructions to use juancopi81/whisper-medium-es-common-fleurs-5k-10k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use juancopi81/whisper-medium-es-common-fleurs-5k-10k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="juancopi81/whisper-medium-es-common-fleurs-5k-10k")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("juancopi81/whisper-medium-es-common-fleurs-5k-10k") model = AutoModelForSpeechSeq2Seq.from_pretrained("juancopi81/whisper-medium-es-common-fleurs-5k-10k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): d08ffd8
Training in progress, step 4000
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pytorch_model.bin
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runs/Dec14_19-08-48_132-145-140-45/events.out.tfevents.1671044964.132-145-140-45.1598466.0
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