Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
English
speech_to_text
speech
audio
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use Classroom-workshop/assignment1-francesco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Classroom-workshop/assignment1-francesco with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Classroom-workshop/assignment1-francesco")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Classroom-workshop/assignment1-francesco") model = AutoModelForSpeechSeq2Seq.from_pretrained("Classroom-workshop/assignment1-francesco") - Notebooks
- Google Colab
- Kaggle
Ctrl+K