Automatic Speech Recognition
Transformers
PyTorch
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use haseong8012/whisper-tiny_child-50k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use haseong8012/whisper-tiny_child-50k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="haseong8012/whisper-tiny_child-50k")# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("haseong8012/whisper-tiny_child-50k") model = AutoModelForMultimodalLM.from_pretrained("haseong8012/whisper-tiny_child-50k") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 71ffe4a
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README.md
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model-index:
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- name: whisper-tiny_child-50k
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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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# whisper-tiny_child-50k
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the haseong8012/child-50k dataset.
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## Model description
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- Transformers 4.34.0
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- Pytorch 2.1.0+cu121
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- Datasets 2.14.5
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- Tokenizers 0.14.1
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model-index:
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- name: whisper-tiny_child-50k
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results: []
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metrics:
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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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# whisper-tiny_child-50k
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the haseong8012/child-50k dataset.
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- Loss: 0.02219698205590248
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- Wer: 2.756892230576441
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- Cer: 1.3984210978649216
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## Model description
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- Transformers 4.34.0
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- Pytorch 2.1.0+cu121
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- Datasets 2.14.5
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- Tokenizers 0.14.1
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