Instructions to use guymorlan/English2Dialect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use guymorlan/English2Dialect with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("guymorlan/English2Dialect") model = AutoModelForSeq2SeqLM.from_pretrained("guymorlan/English2Dialect") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 05a94a38c2cdc064f5c2e1cc6ec551978b69eaa75b05ee0975a324f7c5b2c8dc
- Size of remote file:
- 306 MB
- SHA256:
- 9710e00a204f5ebd367111db83464c2b2e3f68d65d1f7bc6f1f446275ea9025f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.