Instructions to use emre/whisper-medium-turkish-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use emre/whisper-medium-turkish-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="emre/whisper-medium-turkish-2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("emre/whisper-medium-turkish-2") model = AutoModelForSpeechSeq2Seq.from_pretrained("emre/whisper-medium-turkish-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Fined medium Turkish vs whisper large
#5 opened over 2 years ago
by
kirill578
Adding `safetensors` variant of this model
#4 opened almost 3 years ago
by
SFconvertbot
Huggingface usage and local usage are different
1
#2 opened about 3 years ago
by
beraeren
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot