Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Marathi
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use simran14/small_8_c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use simran14/small_8_c with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="simran14/small_8_c")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("simran14/small_8_c") model = AutoModelForSpeechSeq2Seq.from_pretrained("simran14/small_8_c") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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value: 17.566333397423573
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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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- Transformers 4.45.0.dev0
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.1.dev0
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- Tokenizers 0.19.1
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value: 17.566333397423573
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library_name: transformers
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pipeline_tag: 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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- Pytorch 2.3.1+cu121
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- Datasets 2.20.1.dev0
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- Tokenizers 0.19.1
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