Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Persian
whisper
Generated from Trainer
Instructions to use aictsharif/whisper-small-fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aictsharif/whisper-small-fa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="aictsharif/whisper-small-fa")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("aictsharif/whisper-small-fa") model = AutoModelForSpeechSeq2Seq.from_pretrained("aictsharif/whisper-small-fa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from aictsharif/whisper-small-fa: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/aictsharif/whisper-small-fa/resolve/main/training_args.bin
- Command line
-
hf download hf://aictsharif/whisper-small-fa/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aictsharif/whisper-small-fa/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 76d9f3f1fc75b9dfbd7f51cd6093cd0bf32782d71ba599eb87cdbf2fb108c3d0
- Size of remote file:
- 5.5 kB
- SHA256:
- 5b11457cbc8eae5359831ef46fa2071a1b18c2f49c20cc7724f3b6ce6bf4549a
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