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
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f1459d9
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Parent(s): 918f3db
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tokenizer_config.json
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{"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "<pad>", "do_lower_case": false, "return_attention_mask": false, "do_normalize": true}
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