Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use TheRains/yt-special-batch12-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheRains/yt-special-batch12-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TheRains/yt-special-batch12-tiny")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("TheRains/yt-special-batch12-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("TheRains/yt-special-batch12-tiny") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6bef657e8e14ffeb5449ce7aba7890af4acd2232efdd1a7534b9e2c6d26ed24b
- Size of remote file:
- 4.16 kB
- SHA256:
- 3589b5d075b8734a90f4804b224c123a3233a55f28393546ceecf0122ae04a1d
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