Instructions to use google/umt5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/umt5-small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("google/umt5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update config.json
8c63c2b
-
Create README.md
27cbeff
-
Upload tokenizer
2c05f81 -
Upload UMT5ForConditionalGeneration
8bc9955 -
Upload tokenizer
9e2f07e -
Upload tokenizer
8a2b22c -
Upload UMT5ForConditionalGeneration
01392e3 -
Upload tokenizer
ac990bd -
Upload UMT5ForConditionalGeneration
84afba6 -
Upload tokenizer
58b345d -
initial commit
a1b30ce