Instructions to use macavaney/monot5-base-msmarco-sim5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use macavaney/monot5-base-msmarco-sim5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("macavaney/monot5-base-msmarco-sim5") model = AutoModelForSeq2SeqLM.from_pretrained("macavaney/monot5-base-msmarco-sim5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
add model
Sean MacAvaney677bc22 -
add tokenizer
Sean MacAvaney1bc9854 -
initial commit
Sean MacAvaney65aebef