Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Turkish
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use Mehtap/base_05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mehtap/base_05 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Mehtap/base_05")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Mehtap/base_05") model = AutoModelForSpeechSeq2Seq.from_pretrained("Mehtap/base_05", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
485f980 -
Training in progress, step 1000
d4f8781 -
Training in progress, step 900
f197745 -
Training in progress, step 800
b32aa1a -
Training in progress, step 700
0d8bb1b -
Training in progress, step 600
9444ded -
Training in progress, step 500
fd71a14 -
Training in progress, step 400
69aa46c -
Training in progress, step 300
d7ef5a9 -
Training in progress, step 200
710f251 -
Training in progress, step 100
0e40acd