Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
Generated from Trainer
Instructions to use Makkoen/whisper-medium.en-cit-do015-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-medium.en-cit-do015-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-medium.en-cit-do015-wd0-lr1e-06-1000")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Makkoen/whisper-medium.en-cit-do015-wd0-lr1e-06-1000") model = AutoModelForSpeechSeq2Seq.from_pretrained("Makkoen/whisper-medium.en-cit-do015-wd0-lr1e-06-1000", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Makkoen/whisper-medium.en-cit-do015-wd0-lr1e-06-1000: direct link, hf CLI and curl.
- Browser
- Download file 6.52 kB
-
https://huggingface.co/Makkoen/whisper-medium.en-cit-do015-wd0-lr1e-06-1000/resolve/main/training_args.bin
- Command line
-
hf download hf://Makkoen/whisper-medium.en-cit-do015-wd0-lr1e-06-1000/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Makkoen/whisper-medium.en-cit-do015-wd0-lr1e-06-1000/resolve/main/training_args.bin
6.52 kB
- Xet hash:
- cc789d7d6f822727c5d4f1c1ee66087e28bc168f678e2ae21126cbb2970bd3c2
- Size of remote file:
- 6.52 kB
- SHA256:
- f424811e5a3f9b0553f2d140324107a7b5c84e908299e2cdb1b87177a665f8b3
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