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
Training in progress, step 1000
Browse files- pytorch_model.bin +1 -1
- runs/May29_15-01-38_zjlab-Standard-PC-i440FX-PIIX-1996/1685408391.3206542/events.out.tfevents.1685408391.zjlab-Standard-PC-i440FX-PIIX-1996 +3 -0
- runs/May29_15-01-38_zjlab-Standard-PC-i440FX-PIIX-1996/events.out.tfevents.1685343707.zjlab-Standard-PC-i440FX-PIIX-1996 +2 -2
- runs/May29_15-01-38_zjlab-Standard-PC-i440FX-PIIX-1996/events.out.tfevents.1685408391.zjlab-Standard-PC-i440FX-PIIX-1996 +3 -0
pytorch_model.bin
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