Instructions to use Turkish-NLP/t5-efficient-small-turkish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Turkish-NLP/t5-efficient-small-turkish with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Turkish-NLP/t5-efficient-small-turkish") model = AutoModelForSeq2SeqLM.from_pretrained("Turkish-NLP/t5-efficient-small-turkish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.ckpt-524288.index from Turkish-NLP/t5-efficient-small-turkish: direct link, hf CLI and curl.
- Browser
- Download file 13.9 kB
-
https://huggingface.co/Turkish-NLP/t5-efficient-small-turkish/resolve/main/model.ckpt-524288.index
- Command line
-
hf download hf://Turkish-NLP/t5-efficient-small-turkish/model.ckpt-524288.index
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curl -L -o model.ckpt-524288.index https://huggingface.co/Turkish-NLP/t5-efficient-small-turkish/resolve/main/model.ckpt-524288.index
13.9 kB
- Xet hash:
- 9fa18f03f7c36fe75b9cadfebe517b1ee861124b919c16092992bd83eb62462a
- Size of remote file:
- 13.9 kB
- SHA256:
- c6e7644067ddd6b3fa5c369836175866115e627fe4cd1cc45e0e4a03dd05bfc8
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