Instructions to use Dmitriy/test44 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dmitriy/test44 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Dmitriy/test44")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Dmitriy/test44") model = AutoModelForSpeechSeq2Seq.from_pretrained("Dmitriy/test44") - Notebooks
- Google Colab
- Kaggle
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("automatic-speech-recognition", model="Dmitriy/test44")# Load model directly
from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
processor = AutoProcessor.from_pretrained("Dmitriy/test44")
model = AutoModelForSpeechSeq2Seq.from_pretrained("Dmitriy/test44")Quick Links
# Gated model: Login with a HF token with gated access permission hf auth login