Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
whisper
Generated from Trainer
Instructions to use danielrosehill/daniel_whisper_finetune_medium_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danielrosehill/daniel_whisper_finetune_medium_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="danielrosehill/daniel_whisper_finetune_medium_v2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("danielrosehill/daniel_whisper_finetune_medium_v2") model = AutoModelForSpeechSeq2Seq.from_pretrained("danielrosehill/daniel_whisper_finetune_medium_v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4eef43ccea126d21246ab3a866fadb5188708ab6244acc73ba3c1a9b9fa26b58
- Size of remote file:
- 6.03 kB
- SHA256:
- aee980406d08fc39a370b4a2adab8db4656fbbaa3356e43d6f1e36ce552cbfea
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