Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Turkish
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use cvnberk/whisper-tiny-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cvnberk/whisper-tiny-tr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="cvnberk/whisper-tiny-tr")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("cvnberk/whisper-tiny-tr") model = AutoModelForSpeechSeq2Seq.from_pretrained("cvnberk/whisper-tiny-tr") - Notebooks
- Google Colab
- Kaggle
CK commited on
Training in progress, step 1000
Browse files- model.safetensors +1 -1
- runs/Mar04_05-40-21_d98f82b42f08/events.out.tfevents.1709530828.d98f82b42f08.39157.1 +3 -0
- runs/Mar04_05-41-35_d98f82b42f08/events.out.tfevents.1709530899.d98f82b42f08.39157.2 +3 -0
- runs/Mar04_05-43-51_d98f82b42f08/events.out.tfevents.1709531032.d98f82b42f08.55692.0 +3 -0
- runs/Mar04_06-45-31_d98f82b42f08/events.out.tfevents.1709534740.d98f82b42f08.55692.1 +3 -0
- training_args.bin +1 -1
model.safetensors
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