Automatic Speech Recognition
Transformers
PyTorch
Armenian
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use arampacha/whisper-large-hy-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arampacha/whisper-large-hy-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="arampacha/whisper-large-hy-2")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("arampacha/whisper-large-hy-2") model = AutoModelForSpeechSeq2Seq.from_pretrained("arampacha/whisper-large-hy-2") - Notebooks
- Google Colab
- Kaggle
Librarian Bot: Add base_model information to model
#3 opened almost 3 years ago
by
librarian-bot
Adding `safetensors` variant of this model
#2 opened almost 3 years ago
by
SFconvertbot
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot