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")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("prakanda/whisper-tiny-loc") model = AutoModelForSpeechSeq2Seq.from_pretrained("prakanda/whisper-tiny-loc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Training in progress, step 100
Verified signature942cec8 -
Training in progress, step 100
Verified signaturece4cc28
-
Training in progress, step 100
Verified signaturea19e432 -
Training in progress, step 100
Verified signatureb3a8fcf -
Training in progress, step 100
Verified signature80b6fe9
-
Training in progress, step 100
Verified signature7c70fc6 -
Training in progress, step 200
Verified signature716c8bb -
Training in progress, step 200
Verified signatured8b0b1a -
Training in progress, step 200
Verified signature0ef6428 -
Training in progress, step 200
Verified signaturedd5b2ec -
Training in progress, step 1000
Verified signature2a5dc73
-
Training in progress, step 1000
Verified signature471a14a -
Training in progress, step 343
Verified signaturea769046 -
Training in progress, step 343
Verified signaturea5087ef