Instructions to use mrapacz/interlinear-en-mt5-base-t-w-t-normalized-ob with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrapacz/interlinear-en-mt5-base-t-w-t-normalized-ob with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mrapacz/interlinear-en-mt5-base-t-w-t-normalized-ob") model = AutoModelForSeq2SeqLM.from_pretrained("mrapacz/interlinear-en-mt5-base-t-w-t-normalized-ob") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee7c660917bc7fae322c82a6895946cc4eb532976598a2237b77afc6e68e4753
- Size of remote file:
- 2.33 GB
- SHA256:
- 67b67f365ecdcee946544cbc59f0f0598dc5172ae8c26cbbd37b478890576e91
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