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
File size: 129 Bytes
376304e | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:8f2da7213b77fe0779aaf5a031213f130ce01d35da4d8de24bf1f8a1b9d4969f
size 4155
|