Instructions to use roval15/umt5-small_translation_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roval15/umt5-small_translation_model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("roval15/umt5-small_translation_model") model = AutoModelForSeq2SeqLM.from_pretrained("roval15/umt5-small_translation_model") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
560c8a0 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:74f8dbfe2cade7352c9fe3b9786deaa156afd57667af2103b209017bf3439318
size 4856
|