Instructions to use SamagraDataGov/whisper-tiny-hindi2_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SamagraDataGov/whisper-tiny-hindi2_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="SamagraDataGov/whisper-tiny-hindi2_test")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("SamagraDataGov/whisper-tiny-hindi2_test") model = AutoModelForSpeechSeq2Seq.from_pretrained("SamagraDataGov/whisper-tiny-hindi2_test") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- runs
- whisper-tiny-hindi-checkpoint-chunk-1
- whisper-tiny-hindi-checkpoint-chunk-10
- whisper-tiny-hindi-checkpoint-chunk-2
- whisper-tiny-hindi-checkpoint-chunk-3
- whisper-tiny-hindi-checkpoint-chunk-4
- whisper-tiny-hindi-checkpoint-chunk-5
- whisper-tiny-hindi-checkpoint-chunk-6
- whisper-tiny-hindi-checkpoint-chunk-7
- whisper-tiny-hindi-checkpoint-chunk-8
- whisper-tiny-hindi-checkpoint-chunk-9
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- 1.76 kB
- 1.31 kB
- 3.74 kB
- 151 MB xet
- 339 Bytes
- 151 MB xet
- 3.91 kB
- 5.24 kB xet