Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
English
speech_to_text
speech
audio
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use Classroom-workshop/assignment1-jane with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Classroom-workshop/assignment1-jane with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Classroom-workshop/assignment1-jane")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Classroom-workshop/assignment1-jane") model = AutoModelForSpeechSeq2Seq.from_pretrained("Classroom-workshop/assignment1-jane") - Notebooks
- Google Colab
- Kaggle
Omar Sanseviero commited on
Commit ·
c954f8c
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Parent(s): 9b6d124
Upload tf_model.h5 with git-lfs
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tf_model.h5
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