Instructions to use Shularp/krirk-finetuned-Helsinki-NLP_opus-mt-en-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shularp/krirk-finetuned-Helsinki-NLP_opus-mt-en-ar 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="Shularp/krirk-finetuned-Helsinki-NLP_opus-mt-en-ar")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Shularp/krirk-finetuned-Helsinki-NLP_opus-mt-en-ar") model = AutoModelForSeq2SeqLM.from_pretrained("Shularp/krirk-finetuned-Helsinki-NLP_opus-mt-en-ar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Shularp/krirk-finetuned-Helsinki-NLP_opus-mt-en-ar: direct link, hf CLI and curl.
- Browser
- Download file 3.58 kB
-
https://huggingface.co/Shularp/krirk-finetuned-Helsinki-NLP_opus-mt-en-ar/resolve/main/training_args.bin
- Command line
-
hf download hf://Shularp/krirk-finetuned-Helsinki-NLP_opus-mt-en-ar/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Shularp/krirk-finetuned-Helsinki-NLP_opus-mt-en-ar/resolve/main/training_args.bin
3.58 kB
- Xet hash:
- b9a56f0e1e223be9ad095e4279505156bdbe0ca290e2e026dc15f1eb7db1376f
- Size of remote file:
- 3.58 kB
- SHA256:
- 6d16b52f9ee29c7a1ac3d983b32721d0ff17a564b88b7302773bbfd4af04f0d7
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