Translation
Transformers
Safetensors
umt5
text2text-generation
cuneiform
transliteration
akkadian
sumerian
hittite
linear-b
elamite
ancient-languages
seq2seq
Instructions to use Thalesian/cuneiformBase-400m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Thalesian/cuneiformBase-400m with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("translation", model="Thalesian/cuneiformBase-400m")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Thalesian/cuneiformBase-400m") model = AutoModelForSeq2SeqLM.from_pretrained("Thalesian/cuneiformBase-400m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Thalesian/cuneiformBase-400m: direct link, hf CLI and curl.
- Browser
- Download file 17 MB
-
https://huggingface.co/Thalesian/cuneiformBase-400m/resolve/main/tokenizer.json
- Command line
-
hf download hf://Thalesian/cuneiformBase-400m/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Thalesian/cuneiformBase-400m/resolve/main/tokenizer.json
17 MB
- Xet hash:
- 358de0f3b374af493464904bd5f9417950270324c840c10083e5bfa9ea343a4f
- Size of remote file:
- 17 MB
- SHA256:
- 56a43fd8b322b043fc6760fc94c1eef191f5fcb7aa0b5a964a708a2313bdbdc8
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