Instructions to use jonatasgrosman/exp_w2v2t_th_unispeech_s328 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonatasgrosman/exp_w2v2t_th_unispeech_s328 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jonatasgrosman/exp_w2v2t_th_unispeech_s328")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("jonatasgrosman/exp_w2v2t_th_unispeech_s328") model = AutoModelForCTC.from_pretrained("jonatasgrosman/exp_w2v2t_th_unispeech_s328") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- baea915de3e85c6584a3683e7e393afb1da0fda7b68403f54359f38359b91084
- Size of remote file:
- 1.26 GB
- SHA256:
- 1b061585cbc7b1e0b8919ae6a997e6038b8ed70ee4d973146368cdd570ee4e6c
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