Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
whisper
Generated from Trainer
Instructions to use jlvdoorn/whisper-medium-atcosim with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jlvdoorn/whisper-medium-atcosim with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jlvdoorn/whisper-medium-atcosim")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("jlvdoorn/whisper-medium-atcosim") model = AutoModelForSpeechSeq2Seq.from_pretrained("jlvdoorn/whisper-medium-atcosim", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (45ea4fe7a4584ca8dd97f596166426c8c8b564e6)
- model.safetensors +3 -0
model.safetensors
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