Instructions to use Davlan/oyo-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Davlan/oyo-t5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Davlan/oyo-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("Davlan/oyo-t5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf9f3737eff36db9822ab73112039a0d120815006ca21de7286ddc484cbcf62b
- Size of remote file:
- 1.22 GB
- SHA256:
- 99547b54ad614091cf050009fb2931ecde05915cf4cd0dcb1cb18489c19b47c8
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