Instructions to use Davlan/mT5_base_yoruba_adr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/mT5_base_yoruba_adr with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Davlan/mT5_base_yoruba_adr") model = AutoModelForSeq2SeqLM.from_pretrained("Davlan/mT5_base_yoruba_adr") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1bac36136ff830238786b9773a18449b7e284293d8a5b791f9063381809d3374
- Size of remote file:
- 2.33 GB
- SHA256:
- 3435eab37f48e89998c10d1423693f4756c334181ddeea8e43807be9cad1c1d9
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