Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Urdu
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use codewithdark/WhisperLiveSubs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codewithdark/WhisperLiveSubs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="codewithdark/WhisperLiveSubs")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("codewithdark/WhisperLiveSubs") model = AutoModelForSpeechSeq2Seq.from_pretrained("codewithdark/WhisperLiveSubs") - Notebooks
- Google Colab
- Kaggle
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README.md
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library_name: transformers
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language:
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license: apache-2.0
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base_model: openai/whisper-small
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tags:
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- Transformers 4.44.2
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- Pytorch 2.4.0
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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---
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library_name: transformers
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language:
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- ur
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license: apache-2.0
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base_model: openai/whisper-small
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tags:
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- Transformers 4.44.2
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- Pytorch 2.4.0
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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