Instructions to use Dev372/harshdev_systran_faster_whisper_tiny.en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dev372/harshdev_systran_faster_whisper_tiny.en with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Dev372/harshdev_systran_faster_whisper_tiny.en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 65c271daf8cd23fd76b2db49f9cd5fca017facfe1f0b54582cda2a0c8305a5fe
- Size of remote file:
- 75.5 MB
- SHA256:
- beb50f0ade9643a25b09669bf07c22c5c6772d2e87ee7e439f67078f0fdbd840
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