Instructions to use jonatasgrosman/exp_w2v2t_en_unispeech-sat_s456 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonatasgrosman/exp_w2v2t_en_unispeech-sat_s456 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jonatasgrosman/exp_w2v2t_en_unispeech-sat_s456")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("jonatasgrosman/exp_w2v2t_en_unispeech-sat_s456") model = AutoModelForCTC.from_pretrained("jonatasgrosman/exp_w2v2t_en_unispeech-sat_s456", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from jonatasgrosman/exp_w2v2t_en_unispeech-sat_s456: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/jonatasgrosman/exp_w2v2t_en_unispeech-sat_s456/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://jonatasgrosman/exp_w2v2t_en_unispeech-sat_s456/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jonatasgrosman/exp_w2v2t_en_unispeech-sat_s456/resolve/main/pytorch_model.bin
1.26 GB
- Xet hash:
- 3f3673a041372e283940ff7b2259e0d5e200027f72d4fb370193c424d2319d7b
- Size of remote file:
- 1.26 GB
- SHA256:
- cade54549b00841a0491e3eddaa0b0e3584f8580e78d5af33bd7663063f5207c
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