Transformers
Safetensors
Divehi
t5
text2text-generation
dhivehi
title
headlines
text-generation-inference
Instructions to use alakxender/t5-dhivehi-title-generation-xs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alakxender/t5-dhivehi-title-generation-xs with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alakxender/t5-dhivehi-title-generation-xs") model = AutoModelForSeq2SeqLM.from_pretrained("alakxender/t5-dhivehi-title-generation-xs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from alakxender/t5-dhivehi-title-generation-xs: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/alakxender/t5-dhivehi-title-generation-xs/resolve/main/training_args.bin
- Command line
-
hf download hf://alakxender/t5-dhivehi-title-generation-xs/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/alakxender/t5-dhivehi-title-generation-xs/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- e7441606095ab389c52b5e9378ef59912f2e6365d7225d0eedab6937e74b37a9
- Size of remote file:
- 5.56 kB
- SHA256:
- d3017d13fc7b242aa78e52dbdbf3df373461d3961c3c2dd0393c58c5504396b3
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