maxseats/aihub-464-preprocessed-680GB-set-32
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How to use maxseats/SungBeom-whisper-small-ko-set32 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("automatic-speech-recognition", model="maxseats/SungBeom-whisper-small-ko-set32") # Load model directly
from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
processor = AutoProcessor.from_pretrained("maxseats/SungBeom-whisper-small-ko-set32")
model = AutoModelForSpeechSeq2Seq.from_pretrained("maxseats/SungBeom-whisper-small-ko-set32", device_map="auto")- νμΈνλ λ°μ΄ν°μ
: maxseats/aihub-464-preprocessed-680GB-set-32
# μ€λͺ
- AI hubμ μ£Όμ μμλ³ νμ μμ± λ°μ΄ν°μ
μ νμ΅ μ€μ΄μμ.
- 680GB μ€ set_0~31 λ°μ΄ν°(320GB)κΉμ§ νμΈνλν λͺ¨λΈμ λΆλ¬μμ, set_32 λ°μ΄ν°(10GB)λ₯Ό νμ΅ν λͺ¨λΈμ
λλ€.
- λ§ν¬ : https://huggingface.co/datasets/maxseats/aihub-464-preprocessed-680GB-set-32