Instructions to use istomin9192/whisper-small-sr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use istomin9192/whisper-small-sr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="istomin9192/whisper-small-sr")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("istomin9192/whisper-small-sr") model = AutoModelForSpeechSeq2Seq.from_pretrained("istomin9192/whisper-small-sr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 13dbcf3dc6872a7c93aa0e099335612d0d4db2a81681c2575654f96ac587d4bc
- Size of remote file:
- 967 MB
- SHA256:
- be21fb54e0076861e860aac0a4a9049031dbf213207b5c056c87d45a2e06727f
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