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README.md
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model-index:
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- name: whisper-large-v3-turbo-ivrit-ai-coursera-fine-tuned
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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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## Model description
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## Intended uses & limitations
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- Transformers 4.48.1
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- Pytorch 2.6.0+cu124
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- Datasets 3.4.1
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- Tokenizers 0.21.1
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model-index:
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- name: whisper-large-v3-turbo-ivrit-ai-coursera-fine-tuned
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results: []
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datasets:
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- imvladikon/hebrew_speech_coursera
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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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## Model description
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This model created for my work for the Open University Of Israel.
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[Here](https://colab.research.google.com/gist/zibib3/373bbc36c305899e29c1a91b9a834c97/.ipynb) you can see the notebook that used to
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create this model, and [here](https://www.youtube.com/live/rEoG9vF0GAo) you can find me displaying the notebook.
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I think that this model is useless becaus it has lower performance from its base model.
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## Intended uses & limitations
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- Transformers 4.48.1
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- Pytorch 2.6.0+cu124
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- Datasets 3.4.1
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- Tokenizers 0.21.1
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