# pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForCTC
processor = AutoProcessor.from_pretrained("jonatasgrosman/exp_w2v2t_ja_unispeech-ml_s295")
model = AutoModelForCTC.from_pretrained("jonatasgrosman/exp_w2v2t_ja_unispeech-ml_s295", device_map="auto")Quick Links
exp_w2v2t_ja_unispeech-ml_s295
Fine-tuned microsoft/unispeech-large-multi-lingual-1500h-cv for speech recognition using the train split of Common Voice 7.0 (ja). When using this model, make sure that your speech input is sampled at 16kHz.
This model has been fine-tuned by the HuggingSound tool.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jonatasgrosman/exp_w2v2t_ja_unispeech-ml_s295")