Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Catalan
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use JulioCastro/whisper-medium-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JulioCastro/whisper-medium-ca with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="JulioCastro/whisper-medium-ca")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("JulioCastro/whisper-medium-ca") model = AutoModelForSpeechSeq2Seq.from_pretrained("JulioCastro/whisper-medium-ca") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 9fd5bd9
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README.md
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- openslr
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- collectivat/tv3_parla
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- projecte-aina/parlament_parla
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model-index:
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- name: Whisper Medium Ca
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results:
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- openslr
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- collectivat/tv3_parla
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- projecte-aina/parlament_parla
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metrics:
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- wer
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model-index:
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- name: Whisper Medium Ca
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: Common Voice 11.0
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type: mozilla-foundation/common_voice_11_0
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config: ca
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split: test
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args: ca
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metrics:
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- name: Wer
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type: wer
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value: 10.0031
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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