Instructions to use rohitp1/libri-finetune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rohitp1/libri-finetune with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="rohitp1/libri-finetune")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("rohitp1/libri-finetune") model = AutoModelForCTC.from_pretrained("rohitp1/libri-finetune") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 76239b41ec958fa9abcb7c0c0672d817f2c4bfd6dfda3a15b46242a20b73ea20
- Size of remote file:
- 3.38 kB
- SHA256:
- bc04b709ac42033b7dad113aceaa6aa4b2ab9d03575f6ec59b06f82c2c598d3f
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