Instructions to use mrapacz/interlinear-en-mt5-large-baseline-normalized-unused with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrapacz/interlinear-en-mt5-large-baseline-normalized-unused with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mrapacz/interlinear-en-mt5-large-baseline-normalized-unused") model = AutoModelForSeq2SeqLM.from_pretrained("mrapacz/interlinear-en-mt5-large-baseline-normalized-unused", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Upload README.md with huggingface_hub
Verified signatureaf37e65
-
Upload MT5ForConditionalGeneration
Verified signature5c9b3f6 -
Upload tokenizer
Verified signature28ac270
-
Upload README.md with huggingface_hub
Verified signature56a9c24 -
initial commit
Verified signatureccfbaa8