Instructions to use google/umt5-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use google/umt5-xl with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("google/umt5-xl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download spiece.model from google/umt5-xl: direct link, hf CLI and curl.
- Browser
- Download file 4.55 MB
-
https://huggingface.co/google/umt5-xl/resolve/refs%2Fpr%2F1/spiece.model
- Command line
-
hf download hf://google/umt5-xl@refs/pr/1/spiece.model
-
curl -L -o spiece.model https://huggingface.co/google/umt5-xl/resolve/refs%2Fpr%2F1/spiece.model
4.55 MB
- Xet hash:
- 07f3b3450a4c25fa40428e4f3bf24b568a6801d7d63bb20bd20d83b2b4d1bc1c
- Size of remote file:
- 4.55 MB
- SHA256:
- e3909a67b780650b35cf529ac782ad2b6b26e6d1f849d3fbb6a872905f452458
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