Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
whisper-event
Eval Results (legacy)
Instructions to use sgangireddy/whisper-medium-cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgangireddy/whisper-medium-cs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sgangireddy/whisper-medium-cs")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sgangireddy/whisper-medium-cs") model = AutoModelForSpeechSeq2Seq.from_pretrained("sgangireddy/whisper-medium-cs") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
94f9d2a | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:fcbb830b872163a85d2d75fcd3f4d6109e07dd16b61dd3d1e752861b270871a1
size 3515
|