Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Korean
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use freshpearYoon/train3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use freshpearYoon/train3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="freshpearYoon/train3")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("freshpearYoon/train3") model = AutoModelForSpeechSeq2Seq.from_pretrained("freshpearYoon/train3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload tokenizer
cb3f8c2 -
Upload processor
8ebe8a6 -
End of training
798392c -
Training in progress, step 4000
a0ac235 -
Training in progress, step 3500
ec243b8 -
Training in progress, step 3000
a84a168 -
Training in progress, step 2500
e53f71c -
Training in progress, step 2000
7d07c55
-
Training in progress, step 1500
c67d398 -
Training in progress, step 1000
3788499 -
Training in progress, step 500
5f07c4a -
Training in progress, step 2500
54ee1ba -
Training in progress, step 2000
3c5e0f8 -
Training in progress, step 1500
cecfc0b -
Training in progress, step 1000
885b9b2 -
Training in progress, step 500
06f1bac
-
initial commit
86a885d