Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Turkish
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use Mehtap/base_11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mehtap/base_11 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Mehtap/base_11")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Mehtap/base_11") model = AutoModelForSpeechSeq2Seq.from_pretrained("Mehtap/base_11", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
0879f85 -
Training in progress, step 1000
d16ed3d -
Training in progress, step 900
4605350 -
Training in progress, step 800
957e6f8 -
Training in progress, step 700
d4753ec
-
Training in progress, step 600
e824d43 -
Training in progress, step 500
7ab14d8 -
Training in progress, step 400
eb029e6 -
Training in progress, step 300
653a3cd -
Training in progress, step 200
3b63194 -
Training in progress, step 100
e4c685f