Automatic Speech Recognition
Transformers
PyTorch
TensorFlow
English
wav2vec2
audio
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use Classroom-workshop/assignment1-omar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Classroom-workshop/assignment1-omar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Classroom-workshop/assignment1-omar")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Classroom-workshop/assignment1-omar") model = AutoModelForCTC.from_pretrained("Classroom-workshop/assignment1-omar") - Notebooks
- Google Colab
- Kaggle
Omar Sanseviero commited on
Commit ·
c620e8c
1
Parent(s): 3cfab60
Upload preprocessor_config.json
Browse files- preprocessor_config.json +8 -0
preprocessor_config.json
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{
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"do_normalize": true,
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"feature_size": 1,
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"padding_side": "right",
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"padding_value": 0.0,
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"return_attention_mask": false,
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"sampling_rate": 16000
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}
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