Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use arun100/whisper-base-fa-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arun100/whisper-base-fa-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="arun100/whisper-base-fa-2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("arun100/whisper-base-fa-2") model = AutoModelForSpeechSeq2Seq.from_pretrained("arun100/whisper-base-fa-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dcfc63eda58d683af2fad165aa2134e55973f54d14256d331730fdfce01ed803
- Size of remote file:
- 4.86 kB
- SHA256:
- 5def9bd2fd6da49941a089517e07795ed2ab3a74ec62e5832680c77deaca501e
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