Instructions to use omarelsayeed/last with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use omarelsayeed/last with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="omarelsayeed/last")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("omarelsayeed/last") model = AutoModelForCTC.from_pretrained("omarelsayeed/last") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoProcessor, AutoModelForCTC
processor = AutoProcessor.from_pretrained("omarelsayeed/last")
model = AutoModelForCTC.from_pretrained("omarelsayeed/last")Quick Links
No model card
- Downloads last month
- 4
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="omarelsayeed/last")