# Load model directly
from transformers import AutoProcessor, AutoModelForCTC
processor = AutoProcessor.from_pretrained("jonatasgrosman/exp_w2v2t_th_wavlm_s847")
model = AutoModelForCTC.from_pretrained("jonatasgrosman/exp_w2v2t_th_wavlm_s847", device_map="auto")Quick Links
exp_w2v2t_th_wavlm_s847
Fine-tuned microsoft/wavlm-large for speech recognition on Thai 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_th_wavlm_s847")