Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Persian
whisper
ASR
Whisper
Common_Voice
Farsi
Persian
Instructions to use MohammadGholizadeh/whisper-small-fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MohammadGholizadeh/whisper-small-fa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MohammadGholizadeh/whisper-small-fa")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("MohammadGholizadeh/whisper-small-fa") model = AutoModelForSpeechSeq2Seq.from_pretrained("MohammadGholizadeh/whisper-small-fa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from MohammadGholizadeh/whisper-small-fa: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/MohammadGholizadeh/whisper-small-fa/resolve/main/training_args.bin
- Command line
-
hf download hf://MohammadGholizadeh/whisper-small-fa/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/MohammadGholizadeh/whisper-small-fa/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 6528240d2aaa8e51a88bb711e246b678dd01c60fe35a294205b59728d6102b51
- Size of remote file:
- 5.5 kB
- SHA256:
- 498fe49da21b5dbc518feafefaff12a2282288363fb633a7ffc76c1c259991d7
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