Automatic Speech Recognition
Transformers
PyTorch
Chinese
wav2vec2
audio
speech
xlsr-fine-tuning-week
Instructions to use gymeee/demo_code_switching with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gymeee/demo_code_switching with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="gymeee/demo_code_switching")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("gymeee/demo_code_switching") model = AutoModelForCTC.from_pretrained("gymeee/demo_code_switching", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 260 Bytes
d212694 | 1 2 3 4 5 6 7 8 9 10 | {
"epoch": 30.0,
"eval_cer": 0.25046854726320344,
"eval_loss": 1.9711192846298218,
"eval_mer": 0.2958612975391499,
"eval_runtime": 215.4984,
"eval_samples": 1127,
"eval_samples_per_second": 5.23,
"eval_steps_per_second": 0.654
} |