Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Instructions to use Makkoen/whisper-large-cit-synth-do0.15-wd0-lr1e-06-1000 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-06-1000 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-06-1000")# 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-06-1000") model = AutoModelForSpeechSeq2Seq.from_pretrained("Makkoen/whisper-large-cit-synth-do0.15-wd0-lr1e-06-1000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Makkoen/whisper-large-cit-synth-do0.15-wd0-lr1e-06-1000: direct link, hf CLI and curl.
- Browser
- Download file 6.52 kB
-
https://huggingface.co/Makkoen/whisper-large-cit-synth-do0.15-wd0-lr1e-06-1000/resolve/main/training_args.bin
- Command line
-
hf download hf://Makkoen/whisper-large-cit-synth-do0.15-wd0-lr1e-06-1000/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Makkoen/whisper-large-cit-synth-do0.15-wd0-lr1e-06-1000/resolve/main/training_args.bin
6.52 kB
- Xet hash:
- 10eb9372775eb52050a0a4a1fae31baace714f2cf2f0dda1697e26575f90c863
- Size of remote file:
- 6.52 kB
- SHA256:
- ef9b4ed3fd62976edb309f3710259414d71df7a6f0f8d29b4cd6ac7ab85a40ea
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.