Instructions to use rifkat/t5-base-uzbek with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rifkat/t5-base-uzbek with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rifkat/t5-base-uzbek") model = AutoModelForSeq2SeqLM.from_pretrained("rifkat/t5-base-uzbek", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33d0da9770307d5ca1d98c6654a7b429e158620474fbb125cf25b48111e7e440
- Size of remote file:
- 990 MB
- SHA256:
- cf22b7837e7394c2061741d73e81a804772991e1a97fba240bee5b135d8ec036
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