Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use AnushS/Hieroglyph-Translator-Using-Gardiner-Codes with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnushS/Hieroglyph-Translator-Using-Gardiner-Codes with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AnushS/Hieroglyph-Translator-Using-Gardiner-Codes") model = AutoModelForSeq2SeqLM.from_pretrained("AnushS/Hieroglyph-Translator-Using-Gardiner-Codes", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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This model was created to translate hieroglyphs into english.
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Egyptian Hieroglyphs have been grouped into different classes and given a referencing method called [Gardiner Codes]
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Using the Gardiner Codes we can assign meanings to different combinations of hieroglyphs.
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# Model description
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This model is a fine-tuned version of t5-small on a custom dataset derived from the [Dictionary of Middle Egyptian]
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The Inference Api on the hugging face model page doesn't work well, load the model in jupyter notebook using the following code snippet:
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This model was created to translate hieroglyphs into english.
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Egyptian Hieroglyphs have been grouped into different classes and given a referencing method called [Gardiner Codes] (https://www.egyptianhieroglyphs.net/gardiners-sign-list/) using Gardiner Classification.
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Using the Gardiner Codes we can assign meanings to different combinations of hieroglyphs.
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# Model description
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This model is a fine-tuned version of t5-small on a custom dataset derived from the [Dictionary of Middle Egyptian](https://www.academia.edu/42457720/Dictionary_of_Middle_Egyptian_in_Gardiner_Classification_Order).
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The Inference Api on the hugging face model page doesn't work well, load the model in jupyter notebook using the following code snippet:
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