Instructions to use stefan-it/it5-efficient-small-el32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stefan-it/it5-efficient-small-el32 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("stefan-it/it5-efficient-small-el32") model = AutoModelForSeq2SeqLM.from_pretrained("stefan-it/it5-efficient-small-el32", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (2f3e06959fb2336bcdbfb5690c603e1ab2729207) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>8ee079b
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model: add initial version of converted model
15c23b9 -
tokenizer: add special tokens map
638a207 -
tokenizer: add config
d492fec -
tokenizer: add fast version
3be9659 -
tokenizer: add original SPM model
228ce67 -
config: add initial version
084a9e0 -
initial commit
4ac807e