Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Instructions to use Makkoen/whisper-large-v3-cit-do005-wd0-lr5e-06-steps2000-FULL6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Makkoen/whisper-large-v3-cit-do005-wd0-lr5e-06-steps2000-FULL6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Makkoen/whisper-large-v3-cit-do005-wd0-lr5e-06-steps2000-FULL6")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Makkoen/whisper-large-v3-cit-do005-wd0-lr5e-06-steps2000-FULL6") model = AutoModelForSpeechSeq2Seq.from_pretrained("Makkoen/whisper-large-v3-cit-do005-wd0-lr5e-06-steps2000-FULL6", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Makkoen/whisper-large-v3-cit-do005-wd0-lr5e-06-steps2000-FULL6: direct link, hf CLI and curl.
- Browser
- Download file 6.65 kB
-
https://huggingface.co/Makkoen/whisper-large-v3-cit-do005-wd0-lr5e-06-steps2000-FULL6/resolve/c32e3e7d4daacda35230b9b98eafdc3ed24ab9bf/training_args.bin
- Command line
-
hf download hf://Makkoen/whisper-large-v3-cit-do005-wd0-lr5e-06-steps2000-FULL6@c32e3e7d4daacda35230b9b98eafdc3ed24ab9bf/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Makkoen/whisper-large-v3-cit-do005-wd0-lr5e-06-steps2000-FULL6/resolve/c32e3e7d4daacda35230b9b98eafdc3ed24ab9bf/training_args.bin
6.65 kB
- Xet hash:
- 0e2fa2b1ff9f1a8bcd7fc43afd546b6a79c9c562c136e0caf4b7f5c1d1da42c7
- Size of remote file:
- 6.65 kB
- SHA256:
- d3c9b6970169859138a7e42bd39a05dcfe26937ad25f8d7587d8bd28e4b82571
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