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marma
/

test

Automatic Speech Recognition

Model card Files Files and versions

Instructions to use marma/test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use marma/test with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("automatic-speech-recognition", model="marma/test")

# Load model directly
from transformers import AutoProcessor, AutoModelForCTC

processor = AutoProcessor.from_pretrained("marma/test")
model = AutoModelForCTC.from_pretrained("marma/test")

Notebooks
Google Colab
Kaggle

How to use from the

Use from the

Transformers library

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("automatic-speech-recognition", model="marma/test")

# Load model directly
from transformers import AutoProcessor, AutoModelForCTC

processor = AutoProcessor.from_pretrained("marma/test")
model = AutoModelForCTC.from_pretrained("marma/test")

Quick Links

Read model documentation
Read docs on high-level-pipeline
Read our learning resources

Test

Test

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