Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Persian
whisper
whisper-large-v3
persian
farsi
speech-recognition
asr
audio
Generated from Trainer
h100
huggingface
vhdm
Eval Results (legacy)
Instructions to use Alireza48/whisper-large-fa-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alireza48/whisper-large-fa-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Alireza48/whisper-large-fa-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Alireza48/whisper-large-fa-v1") model = AutoModelForSpeechSeq2Seq.from_pretrained("Alireza48/whisper-large-fa-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Alireza48/whisper-large-fa-v1: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/Alireza48/whisper-large-fa-v1/resolve/main/training_args.bin
- Command line
-
hf download hf://Alireza48/whisper-large-fa-v1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Alireza48/whisper-large-fa-v1/resolve/main/training_args.bin
5.91 kB
- Xet hash:
- 180db0463dcd63a16f33fbb411929232d4deb3d800bf8d7dda7fc84a37639e86
- Size of remote file:
- 5.91 kB
- SHA256:
- e96893eafdde3ed020422a72e620da5351bf21880f5440ec652ed0a8916c606d
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