Instructions to use aomocelin/moonshine_tiny_pt_v06 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aomocelin/moonshine_tiny_pt_v06 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="aomocelin/moonshine_tiny_pt_v06")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("aomocelin/moonshine_tiny_pt_v06") model = AutoModelForSpeechSeq2Seq.from_pretrained("aomocelin/moonshine_tiny_pt_v06", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
195a6d4 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2f74bd21fc75c9b7fcca870d4f5ddf19c127381a6cb581417924d6cf3e425c37
size 5393
|