Automatic Speech Recognition
Transformers
Safetensors
Azerbaijani
whisper
azerbaijani
asr
speech
fine-tuned
Eval Results (legacy)
Instructions to use LocalDoc/azerbaijani-whisper-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LocalDoc/azerbaijani-whisper-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="LocalDoc/azerbaijani-whisper-small")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("LocalDoc/azerbaijani-whisper-small") model = AutoModelForSpeechSeq2Seq.from_pretrained("LocalDoc/azerbaijani-whisper-small") - Notebooks
- Google Colab
- Kaggle
Incorrect result
#1
by alpaycli - opened
if sr != 16000:
audio = librosa.resample(audio, orig_sr=sr, target_sr=16000)
Example codedaki bunu
y, sr = librosa.load('IMG_5762.wav', sr=None)
audio = librosa.resample(y, orig_sr=sr, target_sr=16000)
Buna deyishdim, ishledi, if-e girmirmish yeqinki. Tesekkurler
alpaycli changed discussion status to closed
