Automatic Speech Recognition
Transformers
PyTorch
data2vec-audio
abdusahmbzuai/arabic_speech_massive_300hrs
Generated from Trainer
Instructions to use abdusah/aradia-ctc-data2vec-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdusah/aradia-ctc-data2vec-ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="abdusah/aradia-ctc-data2vec-ft")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCTC tokenizer = AutoTokenizer.from_pretrained("abdusah/aradia-ctc-data2vec-ft") model = AutoModelForCTC.from_pretrained("abdusah/aradia-ctc-data2vec-ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Abdulwahab Sahyoun commited on
Commit ·
db02113
1
Parent(s): f48686b
Training in progress, step 6800
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