Translation
Transformers
Safetensors
English
Turkish
marian
text2text-generation
english
turkish
math
latex
symbol-preserving
mathematics
ethosoft
Instructions to use Ethosoft/Ethosoft-Math-Translator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ethosoft/Ethosoft-Math-Translator 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="Ethosoft/Ethosoft-Math-Translator")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ethosoft/Ethosoft-Math-Translator") model = AutoModelForSeq2SeqLM.from_pretrained("Ethosoft/Ethosoft-Math-Translator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ethosoft-Math-Translator v1: symbol-preserving EN->TR math translation (fine-tuned NedoTranslator)
a3f4427 verified Download special_tokens_map.json from Ethosoft/Ethosoft-Math-Translator: direct link, hf CLI and curl.
- Browser
- Download file 74 Bytes
-
https://huggingface.co/Ethosoft/Ethosoft-Math-Translator/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://Ethosoft/Ethosoft-Math-Translator/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/Ethosoft/Ethosoft-Math-Translator/resolve/main/special_tokens_map.json
74 Bytes
| { | |
| "eos_token": "</s>", | |
| "pad_token": "<pad>", | |
| "unk_token": "<unk>" | |
| } | |