Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use TheRains/yt-special-batch12-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheRains/yt-special-batch12-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TheRains/yt-special-batch12-base")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("TheRains/yt-special-batch12-base") model = AutoModelForSpeechSeq2Seq.from_pretrained("TheRains/yt-special-batch12-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63c9b9b5e4b2d2a1e0317e7c668ca37005e14fbb7e58090c953d04cd5df42e39
- Size of remote file:
- 4.16 kB
- SHA256:
- 8f2da7213b77fe0779aaf5a031213f130ce01d35da4d8de24bf1f8a1b9d4969f
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