Instructions to use urarik/umt5-base-asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use urarik/umt5-base-asr with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("urarik/umt5-base-asr") model = AutoModelForSeq2SeqLM.from_pretrained("urarik/umt5-base-asr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e33456eab7373ea546ad8f45f5fff6487c078e542530270eeb7c08f3dcdd02b8
- Size of remote file:
- 5.5 kB
- SHA256:
- eb8d562c78ab2f5b37b99751b471670c3c8a874b8700b66d829f4da2cd108329
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