# pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForCTC
processor = AutoProcessor.from_pretrained("jonatasgrosman/exp_w2v2t_en_unispeech-sat_s459")
model = AutoModelForCTC.from_pretrained("jonatasgrosman/exp_w2v2t_en_unispeech-sat_s459", device_map="auto")Quick Links
exp_w2v2t_en_unispeech-sat_s459
Fine-tuned microsoft/unispeech-sat-large 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.
- Downloads last month
- 8
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jonatasgrosman/exp_w2v2t_en_unispeech-sat_s459")