Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Chinese
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use guqun/whispertest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guqun/whispertest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="guqun/whispertest")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("guqun/whispertest") model = AutoModelForSpeechSeq2Seq.from_pretrained("guqun/whispertest", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 1000
96a02b9
-
Training in progress, step 4000
996578f -
Training in progress, step 3000
c7f3a9b -
Training in progress, step 2000
2ef8aad -
Training in progress, step 1000
3b5469b
-
Training in progress, step 1000
b046b60
-
Training in progress, step 4000
55984cb -
Training in progress, step 3000
d1cbda7 -
Training in progress, step 2000
0941a9d -
Training in progress, step 1000
61c1362