haseong8012/child-50k
Viewer • Updated • 50k • 80 • 1
How to use haseong8012/whisper-small_child-50k_step-8k with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("automatic-speech-recognition", model="haseong8012/whisper-small_child-50k_step-8k") # Load model directly
from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
processor = AutoProcessor.from_pretrained("haseong8012/whisper-small_child-50k_step-8k")
model = AutoModelForSpeechSeq2Seq.from_pretrained("haseong8012/whisper-small_child-50k_step-8k")This model is a fine-tuned version of openai/whisper-tiny on the haseong8012/child-50k dataset.
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
Base model
openai/whisper-tiny