Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Instructions to use Makkoen/whisper-large-cit-synth-do0.15-wd0-lr1e-05-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Makkoen/whisper-large-cit-synth-do0.15-wd0-lr1e-05-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Makkoen/whisper-large-cit-synth-do0.15-wd0-lr1e-05-final")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Makkoen/whisper-large-cit-synth-do0.15-wd0-lr1e-05-final") model = AutoModelForSpeechSeq2Seq.from_pretrained("Makkoen/whisper-large-cit-synth-do0.15-wd0-lr1e-05-final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Makkoen/whisper-large-cit-synth-do0.15-wd0-lr1e-05-final: direct link, hf CLI and curl.
- Browser
- Download file 6.52 kB
-
https://huggingface.co/Makkoen/whisper-large-cit-synth-do0.15-wd0-lr1e-05-final/resolve/main/training_args.bin
- Command line
-
hf download hf://Makkoen/whisper-large-cit-synth-do0.15-wd0-lr1e-05-final/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Makkoen/whisper-large-cit-synth-do0.15-wd0-lr1e-05-final/resolve/main/training_args.bin
6.52 kB
- Xet hash:
- 31848205b4f63b31da9bca90161802d80cc0d0820e5412f58c0de521d67fb5c2
- Size of remote file:
- 6.52 kB
- SHA256:
- 41c8a5be3d0fdd4490db95604356f5d270ec71a67f45a0bd0ce7e9f744e40145
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