Instructions to use stas/mt5-tiny-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stas/mt5-tiny-random with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("stas/mt5-tiny-random") model = AutoModelForSeq2SeqLM.from_pretrained("stas/mt5-tiny-random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
25f1f52
1
Parent(s): 9c60ca0
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:ecfb8775360dc89346a072c29152eb8fba4d20068a11ec08305fb0a73e6be2ff
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size 6562415
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