Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Nepali
whisper
Generated from Trainer
Instructions to use prakanda/whisper-tiny-loc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prakanda/whisper-tiny-loc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="prakanda/whisper-tiny-loc")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("prakanda/whisper-tiny-loc") model = AutoModelForSpeechSeq2Seq.from_pretrained("prakanda/whisper-tiny-loc") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Oct06_02-11-32_811879b6102d
- Oct06_06-26-10_1c5a28527ae8
- Oct06_07-34-03_9ca21ce150de
- Oct06_08-04-18_b36facacad6d
- Oct06_08-37-12_464ba4679a81
- Oct06_12-32-41_0a57a7d21e97
- Oct07_11-35-42_8c65d88c9696
- Oct07_11-50-44_8c65d88c9696
- Oct07_12-33-51_904b2207c5b6
- Oct07_14-58-20_2e0473b5e0e9
- Oct08_01-12-33_458a20759ce8
- Oct08_01-29-48_691f9c67bf5c
- Sep26_03-01-30_f6326218de0c
- Sep26_05-35-52_2b3b9edf24a5
- Sep26_06-13-44_a9823bf17769