Instructions to use hiwden00/train-tiny-en-useJiwer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hiwden00/train-tiny-en-useJiwer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hiwden00/train-tiny-en-useJiwer")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hiwden00/train-tiny-en-useJiwer") model = AutoModelForSpeechSeq2Seq.from_pretrained("hiwden00/train-tiny-en-useJiwer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6e54f1c74d215b83ebaceb802226e3ed2fe454eba7cfc50ffc34d700603293bb
- Size of remote file:
- 4.41 kB
- SHA256:
- 83f7c643b9a08d48ad32b68b96ee76f89419f3c86fb9146fd3f95795a712d175
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