Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Oriya
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use Ranjit/odia_whisper_small_v3.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ranjit/odia_whisper_small_v3.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Ranjit/odia_whisper_small_v3.0")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Ranjit/odia_whisper_small_v3.0") model = AutoModelForSpeechSeq2Seq.from_pretrained("Ranjit/odia_whisper_small_v3.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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---
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license: cc-by-nd-4.0
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language:
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- or
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pipeline_tag: automatic-speech-recognition
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tags:
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- Automatic Speech Recognition
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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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# Ranjit/whisper_small_35k_or
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.2584
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- Wer: 13.8614
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---
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license: cc-by-nd-4.0
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tags:
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- whisper-event
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- generated_from_trainer
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datasets:
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- mozilla-foundation/common_voice_11_0
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metrics:
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- wer
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model-index:
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- name: odia_whisper_small_v3.0
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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: mozilla-foundation/common_voice_11_0 or
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type: mozilla-foundation/common_voice_11_0
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config: or
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split: test
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args: or
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metrics:
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- name: Wer
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type: wer
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value: 13.8614
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language:
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- or
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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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# Ranjit/whisper_small_35k_or
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0 and other dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2584
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- Wer: 13.8614
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