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", device_map="auto")# 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
| { | |
| "epoch": 90.01, | |
| "train_loss": 0.04966963032260537, | |
| "train_runtime": 23877.5649, | |
| "train_samples_per_second": 2.68, | |
| "train_steps_per_second": 0.042 | |
| } |