Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Turkish
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use Mehtap/base_12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mehtap/base_12 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Mehtap/base_12")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Mehtap/base_12") model = AutoModelForSpeechSeq2Seq.from_pretrained("Mehtap/base_12", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Create README.md
e67b9a4 -
Training in progress, step 600
fcabbf7 -
Training in progress, step 500
bbbdd3a -
Training in progress, step 400
a5a0a7a -
Training in progress, step 300
6f3ba29 -
Training in progress, step 200
0aed21a -
Training in progress, step 100
6806775 -
initial commit
0632909