ivrit-ai/crowd-transcribe-v4
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How to use ivrit-ai/whisper-v2-d4 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("automatic-speech-recognition", model="ivrit-ai/whisper-v2-d4") # Load model directly
from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
processor = AutoProcessor.from_pretrained("ivrit-ai/whisper-v2-d4")
model = AutoModelForSpeechSeq2Seq.from_pretrained("ivrit-ai/whisper-v2-d4", device_map="auto")Note: If you are looking for our latest dataset and model, please refer to the main README here: https://huggingface.co/ivrit-ai.
This model was released on September 8th, 2024.
Please use the ivrit-ai/faster-whisper-v2-d4 model with relevant instructions to achieve best transcription performance.
Base model
openai/whisper-large-v2