Instructions to use scribe-project/wav2vec2-large-voxrex-300m-radio with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scribe-project/wav2vec2-large-voxrex-300m-radio with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="scribe-project/wav2vec2-large-voxrex-300m-radio")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("scribe-project/wav2vec2-large-voxrex-300m-radio") model = AutoModelForCTC.from_pretrained("scribe-project/wav2vec2-large-voxrex-300m-radio", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from scribe-project/wav2vec2-large-voxrex-300m-radio: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/scribe-project/wav2vec2-large-voxrex-300m-radio/resolve/2a783c3a5a676b99b77934bd2f559823c1c3be33/training_args.bin
- Command line
-
hf download hf://scribe-project/wav2vec2-large-voxrex-300m-radio@2a783c3a5a676b99b77934bd2f559823c1c3be33/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/scribe-project/wav2vec2-large-voxrex-300m-radio/resolve/2a783c3a5a676b99b77934bd2f559823c1c3be33/training_args.bin
3.58 kB
- Xet hash:
- 623202e2b83ececae399caffab646fa6daad04fdd6ef7c6024e020cdbe60877c
- Size of remote file:
- 3.58 kB
- SHA256:
- 94ce7d891e4d2c55edb02fd0fb7bff38dcd5608a1cfa545c4e6cc48f13c403b8
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