Instructions to use tkuye/reinforce-dd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tkuye/reinforce-dd with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("tkuye/reinforce-dd") model = AutoModelForSeq2SeqLM.from_pretrained("tkuye/reinforce-dd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4883173c27411daf7ff8279b5f7bc7f0e8dde6e3d7261fa2ca791bce03d87d48
- Size of remote file:
- 3.5 kB
- SHA256:
- 338849752102d9a1d556d75dd489ab4fcee11156a1058df69ad524af9fa7fad4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.