Instructions to use hshispeech/Ruby-ASR-1.7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hshispeech/Ruby-ASR-1.7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hshispeech/Ruby-ASR-1.7B")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hshispeech/Ruby-ASR-1.7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download subtitle/tokenizer.json from hshispeech/Ruby-ASR-1.7B: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/hshispeech/Ruby-ASR-1.7B/resolve/main/subtitle/tokenizer.json
- Command line
-
hf download hf://hshispeech/Ruby-ASR-1.7B/subtitle/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/hshispeech/Ruby-ASR-1.7B/resolve/main/subtitle/tokenizer.json
11.4 MB
- Xet hash:
- 19b7109665b15805068c57b005ab01638ae2321dc9ac6ed3fc4356134a4d1c1c
- Size of remote file:
- 11.4 MB
- SHA256:
- 0499602714160467f2d68b910651d6216020689f1e016be87a2d0019ee3baeab
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