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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e9801986f5dfe4e3202bafbb5da5a01df12e98c408f0e9e63b9869a4d7401a00
- Size of remote file:
- 1.22 GB
- SHA256:
- 000417759bcb39f8636cea6e7305c7696f19282ec4adcfff902ae8d2c583ee9a
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