# Load model directly
from transformers import AutoProcessor, AutoModelForCTC
processor = AutoProcessor.from_pretrained("jonatasgrosman/exp_w2v2t_en_unispeech_s809")
model = AutoModelForCTC.from_pretrained("jonatasgrosman/exp_w2v2t_en_unispeech_s809", device_map="auto")Quick Links
exp_w2v2t_en_unispeech_s809
Fine-tuned microsoft/unispeech-large-1500h-cv for speech recognition on English using the train split of Common Voice 7.0. 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_en_unispeech_s809")