Instructions to use anton-l/xtreme_s_xlsr_bart_covost with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anton-l/xtreme_s_xlsr_bart_covost with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="anton-l/xtreme_s_xlsr_bart_covost")# Load model directly from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq tokenizer = AutoTokenizer.from_pretrained("anton-l/xtreme_s_xlsr_bart_covost") model = AutoModelForSpeechSeq2Seq.from_pretrained("anton-l/xtreme_s_xlsr_bart_covost") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb7d887e1c7fd1a9017e2d26eb261b312cea74231d225463886c185f218cc384
- Size of remote file:
- 3.17 GB
- SHA256:
- e148a27f673a9d4bd7609e676ab76484a670e28bbfd694454f7bb7ac56ce09bb
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