Instructions to use alemiaschi/li-it5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alemiaschi/li-it5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alemiaschi/li-it5-base") model = AutoModelForSeq2SeqLM.from_pretrained("alemiaschi/li-it5-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03c6b31d478abb71c580aabcd17f3593414ad87e625024a0fae1cc0ac5c202ef
- Size of remote file:
- 4.86 kB
- SHA256:
- e3a2f2c97f731784a697d73ee497bb51cf0004f177daf3f8f0681fd8ad33b741
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