Instructions to use jonatasgrosman/exp_w2v2t_sv-se_unispeech_s449 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonatasgrosman/exp_w2v2t_sv-se_unispeech_s449 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jonatasgrosman/exp_w2v2t_sv-se_unispeech_s449")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("jonatasgrosman/exp_w2v2t_sv-se_unispeech_s449") model = AutoModelForCTC.from_pretrained("jonatasgrosman/exp_w2v2t_sv-se_unispeech_s449", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from jonatasgrosman/exp_w2v2t_sv-se_unispeech_s449: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/jonatasgrosman/exp_w2v2t_sv-se_unispeech_s449/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jonatasgrosman/exp_w2v2t_sv-se_unispeech_s449/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jonatasgrosman/exp_w2v2t_sv-se_unispeech_s449/resolve/main/pytorch_model.bin
1.26 GB
- Xet hash:
- 8f9fc0120b1d1a1c44f98d051e23cbc3a2e642f2de27ec58c25df0a3300b5012
- Size of remote file:
- 1.26 GB
- SHA256:
- b50661223d8530e823b0eed4a53eab5dcb2f544415c6fa79eccf7e5051f9b0c3
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