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
Download training_args.bin from Mehtap/base_11: direct link, hf CLI and curl.
- Browser
- Download file 3.63 kB
-
https://huggingface.co/Mehtap/base_11/resolve/main/training_args.bin
- Command line
-
hf download hf://Mehtap/base_11/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Mehtap/base_11/resolve/main/training_args.bin
3.63 kB
- Xet hash:
- bade7ce4123173cf728ee47bb7d40cd4ab272a0b928196001756355f55cee7e3
- Size of remote file:
- 3.63 kB
- SHA256:
- f99a39db8af15f1ca17b2f0c0f608d299d6678256fb27714aacfcadc5399103c
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