s2t-small-librispeech-asr
facebook/s2t-small-librispeech-asrContent controls: not assessed.
Model from Hugging Face for automatic speech recognition: facebook/s2t-small-librispeech-asr · transformers
模型信息
s2t-small-librispeech-asr is an audio model for speech recognition. The primary file is model.safetensors (118 MB). The primary file needs about 2 GB free for the selected file. License: MIT. The SHA-256 prefix is 7d2b5fd0d907. The primary Download is available now. No tested run commands for this file yet. See Files for current download availability. The size and hash details refer to the selected file, not every file in the repository. The memory figure is estimated from recorded file size with working room included. The size line uses recorded file bytes when they are present in this model record.
包含内容
11 hosted of 12 listed
关于此模型
External Hugging Face catalog record for facebook/s2t-small-librispeech-asr. Task: automatic speech recognition. Library: transformers. Languages: en. Datasets referenced by card metadata: librispeech_asr. Includes 2 model-card evaluation signals. Popularity signal at import: 99,768 downloads and 33 likes.
基本信息
- Hosted here
- 11 hosted of 12 listed
- Full repo upstream
- 365.9 MB
- Recommended file
- 118.2 MB · model.safetensors
- Languages
- en
- Format
- safetensors · BIN · H5
- Downloads on Hugging Face
- 126,339
- File hashes
- Hashes recorded. Date not recorded.
许可证与来源
License: mit
Check the license text and keep the required notices when you use or share the files.
Upstream source →- Task
- speech recognition
- Hosted here
- 11 files, 365.9 MB
- Full repo upstream
- 365.9 MB
- Recommended file
- 118.2 MB · model.safetensors
- Files
- 11 hosted of 12 listed
- Download
- Download here (11 hosted files)
- Added to Hugging Bay
- Updated at source
FAQ
What is this model?
facebook/s2t-small-librispeech-asr is an audio model for speech recognition published by facebook, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for automatic speech recognition: facebook/s2t-small-librispeech-asr · transformers
Can I use it commercially?
It is released under the mit license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.
How big is it?
Hosted here: 11 files, 365.9 MB. Full repo upstream: 365.9 MB. The recommended download, model.safetensors, is 118.2 MB.
What can I download here?
Hosted here: 11 files, 365.9 MB. Full repo upstream: 365.9 MB. The original release is at https://huggingface.co/facebook/s2t-small-librispeech-asr.
File checks and computer fit
File pattern scans
Automated file-pattern scans flagged nothing; not a safety guarantee. 11 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-facebook-s2t-small-librispeech-asr/safety on Hugging Bay.
Will facebook/s2t-small-librispeech-asr run on my computer?
We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.