Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use bijaykumarsingh/whisper-tiny-as-LDCIL-sentenceAligned_ChotaTesting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bijaykumarsingh/whisper-tiny-as-LDCIL-sentenceAligned_ChotaTesting with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bijaykumarsingh/whisper-tiny-as-LDCIL-sentenceAligned_ChotaTesting")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("bijaykumarsingh/whisper-tiny-as-LDCIL-sentenceAligned_ChotaTesting") model = AutoModelForSpeechSeq2Seq.from_pretrained("bijaykumarsingh/whisper-tiny-as-LDCIL-sentenceAligned_ChotaTesting") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 100
Browse files
model.safetensors
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runs/Sep21_12-44-30_Bijay/events.out.tfevents.1758438872.Bijay.1092.0
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