Instructions to use stackintel/whisper-small-ro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stackintel/whisper-small-ro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="stackintel/whisper-small-ro")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("stackintel/whisper-small-ro") model = AutoModelForSpeechSeq2Seq.from_pretrained("stackintel/whisper-small-ro", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitignore from stackintel/whisper-small-ro: direct link, hf CLI and curl.
- Browser
- Download file 13 Bytes
-
https://huggingface.co/stackintel/whisper-small-ro/resolve/main/.gitignore
- Command line
-
hf download hf://stackintel/whisper-small-ro/.gitignore
-
curl -L -o .gitignore https://huggingface.co/stackintel/whisper-small-ro/resolve/main/.gitignore
13 Bytes
| checkpoint-*/ |