Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use sgangireddy/whisper-medium-fleurs-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgangireddy/whisper-medium-fleurs-tr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sgangireddy/whisper-medium-fleurs-tr")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sgangireddy/whisper-medium-fleurs-tr") model = AutoModelForSpeechSeq2Seq.from_pretrained("sgangireddy/whisper-medium-fleurs-tr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
4806a6d
1
Parent(s): 71d75a3
Model save
Browse files
runs/Dec14_03-38-06_las2-mlgpu40/events.out.tfevents.1671017911.las2-mlgpu40.3526484.0
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