Transformers
Safetensors
Official Aramaic (700-300 BCE)
marian
text2text-generation
diacritization
aramaic
vocalization
targum
semitic-languages
sequence-to-sequence
Instructions to use johnlockejrr/aramaic-diacritization-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use johnlockejrr/aramaic-diacritization-model with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("johnlockejrr/aramaic-diacritization-model") model = AutoModelForSeq2SeqLM.from_pretrained("johnlockejrr/aramaic-diacritization-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from johnlockejrr/aramaic-diacritization-model: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/johnlockejrr/aramaic-diacritization-model/resolve/main/training_args.bin
- Command line
-
hf download hf://johnlockejrr/aramaic-diacritization-model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/johnlockejrr/aramaic-diacritization-model/resolve/main/training_args.bin
5.84 kB
- Xet hash:
- f6143222dec5bf5b91ae138db89bc8f8ee5114c6bb5b960200c03b575ec68bc9
- Size of remote file:
- 5.84 kB
- SHA256:
- 5952b6a5e7d8317da73453941ab91679dc14918147c96729a68d3d232bb1ebd7
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