Automatic Speech Recognition
Transformers
PyTorch
English
speech_to_text_transformer
text-generation
audio
Instructions to use valhalla/s2t_librispeech_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use valhalla/s2t_librispeech_small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="valhalla/s2t_librispeech_small")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("valhalla/s2t_librispeech_small", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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## Evaluation on LibriSpeech Test
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The following script shows how to evaluate this model on the [LibriSpeech](https://huggingface.co/datasets/librispeech_asr) *"clean"* and *"other"* dataset.
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```python
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from datasets import load_dataset
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## Evaluation on LibriSpeech Test
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The following script shows how to evaluate this model on the [LibriSpeech](https://huggingface.co/datasets/librispeech_asr) *"clean"* and *"other"* test dataset.
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```python
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from datasets import load_dataset
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