Instructions to use charsiu/WavEmbed-ASR-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use charsiu/WavEmbed-ASR-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="charsiu/WavEmbed-ASR-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq tokenizer = AutoTokenizer.from_pretrained("charsiu/WavEmbed-ASR-roberta-base") model = AutoModelForSpeechSeq2Seq.from_pretrained("charsiu/WavEmbed-ASR-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
cc0a6f9 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ea6fa0eca42d393722a55178de7d33507869ea51f86e56f84fcda9afdf82eb8a
size 989935889
|