Instructions to use stefan-it/umt5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stefan-it/umt5-small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("stefan-it/umt5-small") model = AutoModelForSeq2SeqLM.from_pretrained("stefan-it/umt5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
model: fix copy paste bug in conversion script!!
https://gist.github.com/stefan-it/5d6a4ec89e7ad97181983881434cb4eb/revisions6f56448 -
model: update latest version
Transformers version: https://github.com/huggingface/transformers/pull/22626 @ 9dfc612 Conversion script: https://gist.github.com/stefan-it/5d6a4ec89e7ad97181983881434cb4eb/revisionscf6ff25 -
model: add converted model
Using: https://gist.github.com/stefan-it/5d6a4ec89e7ad97181983881434cb4ebbc9fe7c