Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use TheRains/yt-special-batch8-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TheRains/yt-special-batch8-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="TheRains/yt-special-batch8-tiny")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("TheRains/yt-special-batch8-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("TheRains/yt-special-batch8-tiny", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
update model card README.md
5e1e275 -
End of training
8382a8d -
update model card README.md
5dd7e58 -
Model save
a9b1d37 -
Training in progress, step 5000
ef2e2f6 -
Training in progress, step 4000
2b12abc -
Training in progress, step 3000
060b976 -
Training in progress, step 2000
18ce055 -
Training in progress, step 1000
b72a80e
-
update model card README.md
37050c8 -
End of training
f343c11 -
update model card README.md
5695f2f -
Model save
6e3bcd7 -
Training in progress, step 5000
75268e3 -
Training in progress, step 4000
08731cf -
Training in progress, step 3000
dbdbf25 -
Training in progress, step 2000
2748f8e -
Training in progress, step 1000
1ba0db8 -
initial commit
f1cf91e