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")# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fdbffda176702ea8220dbe70d902d813d1227aa6aaa13894825522c27548bf4c
- Size of remote file:
- 373 MB
- SHA256:
- ffe4c16679834b75d1e9b14fedb388f348642bfb8fcf9e83d82e2b811556352e
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