Instructions to use DRAGOO/mounir3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DRAGOO/mounir3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="DRAGOO/mounir3")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("DRAGOO/mounir3") model = AutoModelForCTC.from_pretrained("DRAGOO/mounir3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2000
Browse files- pytorch_model.bin +1 -1
- runs/May26_15-15-16_b7ff02ed538a/1685178636.8882885/events.out.tfevents.1685178636.b7ff02ed538a.528.3 +3 -0
- runs/May26_15-15-16_b7ff02ed538a/events.out.tfevents.1685114315.b7ff02ed538a.528.0 +2 -2
- runs/May26_15-15-16_b7ff02ed538a/events.out.tfevents.1685178636.b7ff02ed538a.528.2 +3 -0
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