Automatic Speech Recognition
Transformers
PyTorch
hubert
abdusahmbzuai/arabic_speech_massive_sm
Generated from Trainer
Instructions to use abdusah/aradia-ctc-distilhubert-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abdusah/aradia-ctc-distilhubert-ft with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="abdusah/aradia-ctc-distilhubert-ft")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("abdusah/aradia-ctc-distilhubert-ft") model = AutoModelForCTC.from_pretrained("abdusah/aradia-ctc-distilhubert-ft", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from abdusah/aradia-ctc-distilhubert-ft: direct link, hf CLI and curl.
- Browser
- Download file 3.12 kB
-
https://huggingface.co/abdusah/aradia-ctc-distilhubert-ft/resolve/main/training_args.bin
- Command line
-
hf download hf://abdusah/aradia-ctc-distilhubert-ft/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/abdusah/aradia-ctc-distilhubert-ft/resolve/main/training_args.bin
3.12 kB
- Xet hash:
- b2c48067deef7160cb6f41eca7964264ff186b85a21bd7e2bc873f7355305a06
- Size of remote file:
- 3.12 kB
- SHA256:
- 513d66dbeec6dc87f3f746763760cb25e29f1ae46d8416f4584ab7866784b97d
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