Cafet

/

w2v-bert-final-v2

like 0

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("automatic-speech-recognition", model="Cafet/w2v-bert-final-v2")

# Load model directly
from transformers import AutoProcessor, AutoModelForCTC

processor = AutoProcessor.from_pretrained("Cafet/w2v-bert-final-v2")
model = AutoModelForCTC.from_pretrained("Cafet/w2v-bert-final-v2")