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:
- af0eb20e835c0640aa2bf48d116d251c591c0f2cde8ea5f05f95dbd064371394
- Size of remote file:
- 1.26 GB
- SHA256:
- f908b8959e2f26f869fa9779f370cd5d213a6697823804a6c120e8acb4d68eb4
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