Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use shuvom/whisper-small-bark100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shuvom/whisper-small-bark100 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="shuvom/whisper-small-bark100")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("shuvom/whisper-small-bark100") model = AutoModelForSpeechSeq2Seq.from_pretrained("shuvom/whisper-small-bark100") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f1b11a660bd30a4b0f6779f0fad1c8bd025a256a922f460a897d23f621fc6565
- Size of remote file:
- 5.05 kB
- SHA256:
- 82ae76afadb1d0758c27250aba8402ec59c44412f22992ae26a3ee80a1492308
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