Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
English
speech_to_text
speech
audio
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use Classroom-workshop/assignment1-joane with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Classroom-workshop/assignment1-joane with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Classroom-workshop/assignment1-joane")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Classroom-workshop/assignment1-joane") model = AutoModelForSpeechSeq2Seq.from_pretrained("Classroom-workshop/assignment1-joane") - Notebooks
- Google Colab
- Kaggle
Commit History
Upload vocab.json a6cb0bd
Omar Sanseviero commited on
Upload tokenizer_config.json e385567
Omar Sanseviero commited on
Upload tf_model.h5 with git-lfs 37a92eb
Omar Sanseviero commited on
Upload special_tokens_map.json 6359388
Omar Sanseviero commited on
Upload sentencepiece.bpe.model with git-lfs 19f6fa6
Omar Sanseviero commited on
Upload pytorch_model.bin with git-lfs 26f6ce6
Omar Sanseviero commited on
Upload preprocessor_config.json 87b5dd8
Omar Sanseviero commited on
Upload config.json bec552f
Omar Sanseviero commited on
Upload README.md 66083c4
Omar Sanseviero commited on
initial commit a840aba
Omar Sanseviero commited on