Instructions to use TUKE-KEMT/slavic-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TUKE-KEMT/slavic-t5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("TUKE-KEMT/slavic-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("TUKE-KEMT/slavic-t5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.bin from TUKE-KEMT/slavic-t5-base: direct link, hf CLI and curl.
- Browser
- Download file 3.08 MB
-
https://huggingface.co/TUKE-KEMT/slavic-t5-base/resolve/main/optimizer.bin
- Command line
-
hf download hf://TUKE-KEMT/slavic-t5-base/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/TUKE-KEMT/slavic-t5-base/resolve/main/optimizer.bin
3.08 MB
- Xet hash:
- 7c6d84b66c9a8176f407410ad6e810490a753b136bf214465c4b9bcb5d7e5cde
- Size of remote file:
- 3.08 MB
- SHA256:
- f33c8c04ba9eb304d60ca4132e66bfc03b42dc502d4dbf04f61e81ea47f16bda
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