Instructions to use jonatasgrosman/exp_w2v2t_fa_unispeech_s211 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonatasgrosman/exp_w2v2t_fa_unispeech_s211 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jonatasgrosman/exp_w2v2t_fa_unispeech_s211")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("jonatasgrosman/exp_w2v2t_fa_unispeech_s211") model = AutoModelForCTC.from_pretrained("jonatasgrosman/exp_w2v2t_fa_unispeech_s211", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download transcriptions_cv7_test.json from jonatasgrosman/exp_w2v2t_fa_unispeech_s211: direct link, hf CLI and curl.
- Browser
- Download file 22.1 MB
-
https://huggingface.co/jonatasgrosman/exp_w2v2t_fa_unispeech_s211/resolve/main/transcriptions_cv7_test.json
- Command line
-
hf download hf://jonatasgrosman/exp_w2v2t_fa_unispeech_s211/transcriptions_cv7_test.json
-
curl -L -o transcriptions_cv7_test.json https://huggingface.co/jonatasgrosman/exp_w2v2t_fa_unispeech_s211/resolve/main/transcriptions_cv7_test.json
22.1 MB
- Xet hash:
- 1b766d6666cf7c842e608f2ce87c9f47a5f6c1663828a8cb71f709a95dd674a8
- Size of remote file:
- 22.1 MB
- SHA256:
- c36f717d8dc5560e64061e3fb35fd8b164b65922362f6c785e1d11de6aacaa2e
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