Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use ihanif/whisper-base-ps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ihanif/whisper-base-ps with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ihanif/whisper-base-ps")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("ihanif/whisper-base-ps") model = AutoModelForSpeechSeq2Seq.from_pretrained("ihanif/whisper-base-ps", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files
pytorch_model.bin
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runs/Dec20_20-11-43_129-146-32-172/events.out.tfevents.1671567117.129-146-32-172.149339.0
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