Instructions to use research-backup/mt5-base-trimmed-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use research-backup/mt5-base-trimmed-it with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("research-backup/mt5-base-trimmed-it") model = AutoModelForSeq2SeqLM.from_pretrained("research-backup/mt5-base-trimmed-it") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4c9a76c5bd6d6823c8045381f94a0d76a88816243a56aff4afb3aa5700209114
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size 1475278744
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