Automatic Speech Recognition
Transformers
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use razhan/whisper-base-glk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use razhan/whisper-base-glk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="razhan/whisper-base-glk")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("razhan/whisper-base-glk") model = AutoModelForSpeechSeq2Seq.from_pretrained("razhan/whisper-base-glk") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf45cbe1eb244f53fc02fc53fe1f5d42688e9797abc66d7a7aeb3b53b8f48cf2
- Size of remote file:
- 5.5 kB
- SHA256:
- 1dcf4862c6b5b80ff9b57b38c23d107adf0c8b14e0ef42fd1fc934582cbf60d0
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