Translation
Transformers
Safetensors
Arabic
t5
text2text-generation
Syrian
Shami
MT
MSA
Dialect
ArabicNLP
text-generation-inference
Instructions to use Omartificial-Intelligence-Space/Shami-MT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Omartificial-Intelligence-Space/Shami-MT 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="Omartificial-Intelligence-Space/Shami-MT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Omartificial-Intelligence-Space/Shami-MT") model = AutoModelForSeq2SeqLM.from_pretrained("Omartificial-Intelligence-Space/Shami-MT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Omartificial-Intelligence-Space/Shami-MT: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/Omartificial-Intelligence-Space/Shami-MT/resolve/main/training_args.bin
- Command line
-
hf download hf://Omartificial-Intelligence-Space/Shami-MT/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Omartificial-Intelligence-Space/Shami-MT/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- b549698a27f8100715af0ae6cb807ee02bbd3bbe848efde1ceb527cac77a65c6
- Size of remote file:
- 5.5 kB
- SHA256:
- cf25693b43175c106602276b10282527613a8fb1a965f65d50cfe6c5333d7b2d
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