Instructions to use jonatasgrosman/exp_w2v2t_ja_unispeech-ml_s728 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonatasgrosman/exp_w2v2t_ja_unispeech-ml_s728 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jonatasgrosman/exp_w2v2t_ja_unispeech-ml_s728")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("jonatasgrosman/exp_w2v2t_ja_unispeech-ml_s728") model = AutoModelForCTC.from_pretrained("jonatasgrosman/exp_w2v2t_ja_unispeech-ml_s728", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download transcriptions_cv7_validation.json from jonatasgrosman/exp_w2v2t_ja_unispeech-ml_s728: direct link, hf CLI and curl.
- Browser
- Download file 4.48 MB
-
https://huggingface.co/jonatasgrosman/exp_w2v2t_ja_unispeech-ml_s728/resolve/main/transcriptions_cv7_validation.json
- Command line
-
hf download hf://jonatasgrosman/exp_w2v2t_ja_unispeech-ml_s728/transcriptions_cv7_validation.json
-
curl -L -o transcriptions_cv7_validation.json https://huggingface.co/jonatasgrosman/exp_w2v2t_ja_unispeech-ml_s728/resolve/main/transcriptions_cv7_validation.json
4.48 MB
File too large to display, you can check the raw version instead.