Automatic Speech Recognition
Transformers
PyTorch
Galician
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use zuazo/whisper-medium-gl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zuazo/whisper-medium-gl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="zuazo/whisper-medium-gl")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("zuazo/whisper-medium-gl") model = AutoModelForSpeechSeq2Seq.from_pretrained("zuazo/whisper-medium-gl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download train_results.json from zuazo/whisper-medium-gl: direct link, hf CLI and curl.
- Browser
- Download file 171 Bytes
-
https://huggingface.co/zuazo/whisper-medium-gl/resolve/main/train_results.json
- Command line
-
hf download hf://zuazo/whisper-medium-gl/train_results.json
-
curl -L -o train_results.json https://huggingface.co/zuazo/whisper-medium-gl/resolve/main/train_results.json
171 Bytes
| { | |
| "epoch": 49.02, | |
| "train_loss": 0.017749687022855506, | |
| "train_runtime": 135026.7905, | |
| "train_samples_per_second": 4.74, | |
| "train_steps_per_second": 0.074 | |
| } |