Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Instructions to use molto/ft_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use molto/ft_1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="molto/ft_1")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("molto/ft_1") model = AutoModelForCTC.from_pretrained("molto/ft_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 117000
Browse files
model.safetensors
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runs/Jan04_15-05-44_DESKTOP-CE5K89C/events.out.tfevents.1704350035.DESKTOP-CE5K89C.15664.0
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