Instructions to use voidful/hubert-tiny-100-pr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidful/hubert-tiny-100-pr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="voidful/hubert-tiny-100-pr")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("voidful/hubert-tiny-100-pr") model = AutoModelForCTC.from_pretrained("voidful/hubert-tiny-100-pr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
e7ad76b | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:405d72302305eacc8c69fd718d216ba9d67eb763afe0a3a9de87eba35d115e86
size 3579
|